2716 lines
112 KiB
Plaintext
2716 lines
112 KiB
Plaintext
# SOME DESCRIPTIVE TITLE.
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# Copyright (C) YEAR THE PACKAGE'S COPYRIGHT HOLDER
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# This file is distributed under the same license as the PACKAGE package.
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# FIRST AUTHOR <EMAIL@ADDRESS>, YEAR.
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#
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msgid ""
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msgstr ""
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"Project-Id-Version: PACKAGE VERSION\n"
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"Report-Msgid-Bugs-To: \n"
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"POT-Creation-Date: 2025-04-29 14:48+0800\n"
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"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
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"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
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"Language-Team: LANGUAGE <LL@li.org>\n"
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"Language: \n"
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"MIME-Version: 1.0\n"
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"Content-Type: text/plain; charset=UTF-8\n"
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"Content-Transfer-Encoding: 8bit\n"
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#: common/auth/authenticate.py:80
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msgid "Not logged in, please log in first"
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msgstr "未登錄，請先登錄"
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#: common/auth/authenticate.py:82 common/auth/authenticate.py:89
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#: common/auth/authenticate.py:95
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msgid "Authentication information is incorrect! illegal user"
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msgstr "身份驗證信息不正確！非法用戶"
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#: common/auth/authentication.py:96
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msgid "No permission to access"
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msgstr "無權限訪問"
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#: common/auth/handle/impl/user_token.py:242
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msgid "Login expired"
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msgstr "登錄已過期"
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#: common/constants/exception_code_constants.py:31
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#: users/serializers/login.py:53
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msgid "The username or password is incorrect"
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msgstr "用戶名或密碼不正確"
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#: common/constants/exception_code_constants.py:32
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msgid "Please log in first and bring the user Token"
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msgstr "請先登錄並攜帶用戶 Token"
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#: common/constants/exception_code_constants.py:33
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#| msgid "Model saving failed"
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msgid "Email sending failed"
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msgstr "郵件發送失敗"
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#: common/constants/exception_code_constants.py:34
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msgid "Email format error"
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msgstr "郵箱格式錯誤"
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#: common/constants/exception_code_constants.py:35
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#| msgid "The user has been disabled, please contact the administrator!"
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msgid "The email has been registered, please log in directly"
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msgstr "該郵箱已註冊，請直接登錄"
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#: common/constants/exception_code_constants.py:36
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#| msgid "The model does not exist, please download the model first"
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msgid "The email is not registered, please register first"
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msgstr "該郵箱未註冊，請先註冊"
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#: common/constants/exception_code_constants.py:38
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msgid "The verification code is incorrect or the verification code has expired"
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msgstr "驗證碼不正確或已過期"
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#: common/constants/exception_code_constants.py:39
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#| msgid "The user has been disabled, please contact the administrator!"
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msgid "The username has been registered, please log in directly"
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msgstr "用戶名已註冊，請直接登錄"
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#: common/constants/exception_code_constants.py:41
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msgid ""
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"The username cannot be empty and must be between 6 and 20 characters long."
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msgstr "用戶名不能為空，且長度在6到20個字符之間。"
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#: common/constants/exception_code_constants.py:43
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msgid "Password and confirmation password are inconsistent"
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msgstr "密碼和確認密碼不一致"
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#: common/event/__init__.py:27
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msgid "The download process was interrupted, please try again"
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msgstr "下載過程被中斷，請重試"
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#: common/event/listener_manage.py:90
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#, python-brace-format
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msgid "Query vector data: {paragraph_id_list} error {error} {traceback}"
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msgstr "查詢向量數據：{paragraph_id_list} 錯誤：{error} {traceback}"
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#: common/event/listener_manage.py:95
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#, python-brace-format
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msgid "Start--->Embedding paragraph: {paragraph_id_list}"
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msgstr "開始--->向量段落: {paragraph_id_list}"
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#: common/event/listener_manage.py:107
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#, python-brace-format
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msgid "Vectorized paragraph: {paragraph_id_list} error {error} {traceback}"
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msgstr "向量段落: {paragraph_id_list} 錯誤：{error} {traceback}"
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#: common/event/listener_manage.py:113
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#, python-brace-format
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msgid "End--->Embedding paragraph: {paragraph_id_list}"
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msgstr "結束--->向量段落: {paragraph_id_list}"
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#: common/event/listener_manage.py:122
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#, python-brace-format
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msgid "Start--->Embedding paragraph: {paragraph_id}"
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msgstr "開始--->向量段落: {paragraph_id}"
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#: common/event/listener_manage.py:147
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#, python-brace-format
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msgid "Vectorized paragraph: {paragraph_id} error {error} {traceback}"
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msgstr "向量段落: {paragraph_id} 錯誤：{error} {traceback}"
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#: common/event/listener_manage.py:152
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#, python-brace-format
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msgid "End--->Embedding paragraph: {paragraph_id}"
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msgstr "結束--->向量段落: {paragraph_id}"
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#: common/event/listener_manage.py:268
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#, python-brace-format
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msgid "Start--->Embedding document: {document_id}"
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msgstr "開始--->向量文檔: {document_id}"
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#: common/event/listener_manage.py:288
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#, python-brace-format
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msgid "Vectorized document: {document_id} error {error} {traceback}"
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msgstr "向量文檔: {document_id} 錯誤：{error} {traceback}"
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#: common/event/listener_manage.py:293
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#, python-brace-format
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msgid "End--->Embedding document: {document_id}"
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msgstr "結束--->向量文檔: {document_id}"
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#: common/event/listener_manage.py:304
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#, python-brace-format
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msgid "Start--->Embedding knowledge: {knowledge_id}"
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msgstr "開始--->向量知識庫: {knowledge_id}"
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#: common/event/listener_manage.py:308
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#, python-brace-format
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msgid "Start--->Embedding document: {document_list}"
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msgstr "開始--->向量文檔: {document_list}"
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#: common/event/listener_manage.py:312 knowledge/task/embedding.py:116
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#, python-brace-format
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msgid "Vectorized knowledge: {knowledge_id} error {error} {traceback}"
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msgstr "向量知識庫: {knowledge_id} 錯誤：{error} {traceback}"
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#: common/event/listener_manage.py:315
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#, python-brace-format
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msgid "End--->Embedding knowledge: {knowledge_id}"
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msgstr "結束--->向量知識庫: {knowledge_id}"
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#: common/exception/handle_exception.py:32
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msgid "Unknown exception"
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msgstr "未知錯誤"
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#: common/forms/base_field.py:64
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#, python-brace-format
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msgid "The field {field_label} is required"
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msgstr "{field_label} 欄位是必填項"
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#: common/forms/slider_field.py:56
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#, python-brace-format
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msgid "The {field_label} cannot be less than {min}"
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msgstr "{field_label} 不能小於{min}"
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#: common/forms/slider_field.py:62
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#, python-brace-format
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msgid "The {field_label} cannot be greater than {max}"
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msgstr "{field_label} 不能大於{max}"
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#: common/result/api.py:17 common/result/api.py:27
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msgid "response code"
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msgstr "響應碼"
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#: common/result/api.py:18 common/result/api.py:19 common/result/api.py:28
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#: common/result/api.py:29
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msgid "error prompt"
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msgstr "錯誤提示"
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#: common/result/api.py:43
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msgid "total number of data"
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msgstr "總數據"
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#: common/result/api.py:44
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msgid "current page"
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msgstr "當前頁"
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#: common/result/api.py:45
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msgid "page size"
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msgstr "每頁大小"
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#: common/result/result.py:31
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msgid "Success"
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msgstr "成功"
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#: common/utils/common.py:85
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msgid "Text-to-speech node, the text content must be of string type"
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msgstr "文本轉語音節點，文本內容必須是字符串類型"
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#: common/utils/common.py:87
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msgid "Text-to-speech node, the text content cannot be empty"
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msgstr "文本轉語音節點，文本內容不能為空"
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#: common/utils/common.py:239
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#, python-brace-format
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msgid "Limit {count} exceeded, please contact us (https://fit2cloud.com/)."
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msgstr "超過限制 {count}，請聯繫我們 (https://fit2cloud.com/)."
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#: folders/models/folder.py:6 folders/models/folder.py:13
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#: folders/serializers/folder.py:86
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#| msgid "model name"
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msgid "folder name"
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msgstr "文件夾名稱"
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#: folders/models/folder.py:9 folders/models/folder.py:15
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#: folders/serializers/folder.py:89
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msgid "parent id"
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msgstr "父級 ID"
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#: folders/serializers/folder.py:63
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msgid "Folder depth cannot exceed 3 levels"
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msgstr "文件夾深度不能超過3級"
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#: folders/serializers/folder.py:85 folders/serializers/folder.py:121
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#: knowledge/serializers/knowledge.py:27 knowledge/serializers/knowledge.py:34
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#: tools/serializers/tool.py:339
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#| msgid "user id"
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msgid "folder id"
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msgstr "文件夾 ID"
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#: folders/serializers/folder.py:87
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#| msgid "module user id"
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msgid "folder user id"
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msgstr "文件夾用戶 ID"
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#: folders/serializers/folder.py:88 folders/serializers/folder.py:122
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#: folders/serializers/folder.py:166 knowledge/serializers/knowledge.py:44
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#: models_provider/api/model.py:40 models_provider/api/model.py:53
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#: models_provider/serializers/model_serializer.py:262
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#: models_provider/serializers/model_serializer.py:326
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#: tools/serializers/tool.py:169 tools/serializers/tool.py:190
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#: tools/serializers/tool.py:248 tools/serializers/tool.py:292
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#: tools/serializers/tool.py:322 tools/serializers/tool.py:338
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msgid "workspace id"
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msgstr "工作空間ID"
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#: folders/serializers/folder.py:92 knowledge/serializers/knowledge.py:43
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#: models_provider/serializers/model_serializer.py:108
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#: models_provider/serializers/model_serializer.py:215
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#: models_provider/serializers/model_serializer.py:255
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#: tools/serializers/tool.py:168 tools/serializers/tool.py:189
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msgid "user id"
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msgstr "用戶ID"
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#: folders/serializers/folder.py:93 folders/serializers/folder.py:123
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#: folders/serializers/folder.py:167 tools/serializers/tool.py:97
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msgid "source"
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msgstr "來源"
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#: folders/serializers/folder.py:106
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#| msgid "Module name already exists"
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msgid "Folder name already exists"
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msgstr "文件夾名稱已存在"
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#: folders/serializers/folder.py:132
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#| msgid "Model does not exist"
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msgid "Folder does not exist"
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msgstr "文件夾不存在"
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#: folders/serializers/folder.py:160
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#| msgid "Cannot delete root module"
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msgid "Cannot delete root folder"
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msgstr "無法刪除根文件夾"
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#: folders/views/folder.py:19 folders/views/folder.py:20
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#| msgid "Create model"
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msgid "Create folder"
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msgstr "創建文件夾"
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#: folders/views/folder.py:24 folders/views/folder.py:41
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#: folders/views/folder.py:60 folders/views/folder.py:75
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#: folders/views/folder.py:90
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msgid "Folder"
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msgstr "文件夾"
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#: folders/views/folder.py:37 folders/views/folder.py:38
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#| msgid "Get module tree"
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msgid "Get folder tree"
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msgstr "獲取文件夾樹"
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#: folders/views/folder.py:55 folders/views/folder.py:56
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#| msgid "Update model"
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msgid "Update folder"
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msgstr "更新文件夾"
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#: folders/views/folder.py:71 folders/views/folder.py:72
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#| msgid "Get module"
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msgid "Get folder"
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msgstr "獲取文件夾"
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#: folders/views/folder.py:86 folders/views/folder.py:87
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#| msgid "Delete model"
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msgid "Delete folder"
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msgstr "刪除文件夾"
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#: knowledge/serializers/common.py:98 knowledge/serializers/knowledge.py:37
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#| msgid "source"
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msgid "source url"
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msgstr "來源"
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#: knowledge/serializers/common.py:99
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msgid "selector"
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msgstr "選擇器"
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#: knowledge/serializers/common.py:106
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#, python-brace-format
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msgid "URL error, cannot parse [{source_url}]"
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msgstr "URL 錯誤，無法解析 [{source_url}]"
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#: knowledge/serializers/common.py:114
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#| msgid "init field list"
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msgid "id list"
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msgstr "ID 列表"
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#: knowledge/serializers/common.py:124
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#| msgid "The following fields are required: {keys}"
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msgid "The following id does not exist: {error_id_list}"
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msgstr "以下ID不存在: {error_id_list}"
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#: knowledge/serializers/common.py:181 knowledge/serializers/common.py:205
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msgid "The knowledge base is inconsistent with the vector model"
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msgstr "知識庫與向量模型不一致"
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#: knowledge/serializers/common.py:183 knowledge/serializers/common.py:207
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msgid "Knowledge base setting error, please reset the knowledge base"
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msgstr "知識庫設置錯誤，請重置知識庫"
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#: knowledge/serializers/common.py:212
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#| msgid "model id"
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msgid "Model id"
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msgstr "模型ID"
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#: knowledge/serializers/common.py:213
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msgid "Prompt word"
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msgstr "提示詞"
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#: knowledge/serializers/common.py:215
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msgid "state list"
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msgstr "狀態列表"
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#: knowledge/serializers/document.py:26
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#| msgid "module name"
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msgid "document name"
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msgstr "文檔名稱"
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#: knowledge/serializers/document.py:31 knowledge/serializers/knowledge.py:26
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#: knowledge/serializers/knowledge.py:33
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#| msgid "model name"
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msgid "knowledge name"
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msgstr "知識庫名稱"
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#: knowledge/serializers/document.py:32 knowledge/serializers/knowledge.py:28
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#: knowledge/serializers/knowledge.py:35
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#| msgid "tool description"
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msgid "knowledge description"
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msgstr "知識庫描述"
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#: knowledge/serializers/document.py:33
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#| msgid "Embedding Model"
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msgid "embedding model"
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msgstr "向量模型"
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#: knowledge/serializers/document.py:39 knowledge/serializers/document.py:90
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#: knowledge/serializers/paragraph.py:58 knowledge/serializers/paragraph.py:150
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#| msgid "parent id"
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msgid "document id"
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msgstr "文檔 ID"
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#: knowledge/serializers/document.py:40 knowledge/serializers/paragraph.py:149
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#| msgid "model name"
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msgid "knowledge id"
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msgstr "知識庫 ID"
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#: knowledge/serializers/document.py:46
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#| msgid "Module does not exist"
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msgid "document id not exist"
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msgstr "文檔 ID 不存在"
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#: knowledge/serializers/document.py:71
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#: models_provider/serializers/model_serializer.py:116
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#: models_provider/serializers/model_serializer.py:132
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#: models_provider/serializers/model_serializer.py:151
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#: models_provider/serializers/model_serializer.py:178
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#: models_provider/serializers/model_serializer.py:373
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#: models_provider/tools.py:111
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msgid "Model does not exist"
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msgstr "模型不存在"
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#: knowledge/serializers/document.py:73
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#| msgid "No permission to access"
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msgid "No permission to use this model"
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msgstr "無權限使用此模型"
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#: knowledge/serializers/document.py:87
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#| msgid "The user has been disabled, please contact the administrator!"
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msgid "The task is being executed, please do not send it repeatedly."
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msgstr "任務正在執行，請勿重複發送。"
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#: knowledge/serializers/document.py:95
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#| msgid "Model does not exist"
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msgid "knowledge id not exist"
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msgstr "知識庫 ID 不存在"
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#: knowledge/serializers/knowledge.py:29 knowledge/serializers/knowledge.py:36
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msgid "knowledge embedding"
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msgstr "知識庫向量"
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#: knowledge/serializers/knowledge.py:38
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msgid "knowledge selector"
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msgstr "知識庫選擇器"
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#: knowledge/serializers/knowledge.py:55
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msgid ""
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"The community version supports up to 50 knowledge bases. If you need more "
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"knowledge bases, please contact us (https://fit2cloud.com/)."
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msgstr "社區版支持最多50個知識庫，如需更多知識庫，請聯繫我們 (https://fit2cloud.com/)."
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#: knowledge/serializers/knowledge.py:64 knowledge/serializers/knowledge.py:123
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msgid "Knowledge base name duplicate!"
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msgstr "知識庫名稱重複！"
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#: knowledge/serializers/paragraph.py:31 knowledge/serializers/problem.py:15
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#| msgid "tool content"
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msgid "content"
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msgstr "內容"
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#: knowledge/serializers/paragraph.py:33 knowledge/serializers/paragraph.py:40
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#: knowledge/serializers/paragraph.py:43 knowledge/serializers/paragraph.py:48
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#: knowledge/serializers/paragraph.py:50
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#| msgid "science fiction style"
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msgid "section title"
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msgstr "章節標題"
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#: knowledge/serializers/paragraph.py:36 tools/serializers/tool.py:127
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#: tools/serializers/tool.py:147
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msgid "Is active"
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msgstr "是否啟用"
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#: knowledge/serializers/paragraph.py:54
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msgid "paragraph id"
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msgstr "段落 ID"
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#: knowledge/serializers/paragraph.py:56
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#| msgid "parent id"
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msgid "dataset id"
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||
msgstr "知識庫 ID"
|
||
|
||
#: knowledge/serializers/paragraph.py:63
|
||
#| msgid "Model does not exist"
|
||
msgid "Paragraph id does not exist"
|
||
msgstr "段落 ID 不存在"
|
||
|
||
#: knowledge/serializers/paragraph.py:99
|
||
#| msgid "Model does not exist"
|
||
msgid "Problem id does not exist"
|
||
msgstr "問題 ID 不存在"
|
||
|
||
#: knowledge/serializers/paragraph.py:156
|
||
#| msgid "The username or password is incorrect"
|
||
msgid "The document id is incorrect"
|
||
msgstr "文檔 ID 不正確"
|
||
|
||
#: knowledge/serializers/problem.py:14
|
||
msgid "problem id"
|
||
msgstr "問題 ID"
|
||
|
||
#: knowledge/task/embedding.py:24 knowledge/task/embedding.py:74
|
||
#, python-brace-format
|
||
msgid "Failed to obtain vector model: {error} {traceback}"
|
||
msgstr "向量模型獲取失敗: {error} {traceback}"
|
||
|
||
#: knowledge/task/embedding.py:103
|
||
#, python-brace-format
|
||
msgid "Start--->Vectorized knowledge: {knowledge_id}"
|
||
msgstr "開始--->向量知識庫: {knowledge_id}"
|
||
|
||
#: knowledge/task/embedding.py:107
|
||
#, python-brace-format
|
||
msgid "Knowledge documentation: {document_names}"
|
||
msgstr "知識庫文檔: {document_names}"
|
||
|
||
#: knowledge/task/embedding.py:120
|
||
#, python-brace-format
|
||
msgid "End--->Vectorized knowledge: {knowledge_id}"
|
||
msgstr "結束--->向量知識庫: {knowledge_id}"
|
||
|
||
#: knowledge/task/handler.py:107
|
||
#, python-brace-format
|
||
msgid "Association problem failed {error}"
|
||
msgstr "關聯問題失敗 {error}"
|
||
|
||
#: knowledge/task/sync.py:29 knowledge/task/sync.py:44
|
||
#, python-brace-format
|
||
msgid "Start--->Start synchronization web knowledge base:{knowledge_id}"
|
||
msgstr "開始--->開始同步 web 知識庫:{knowledge_id}"
|
||
|
||
#: knowledge/task/sync.py:34 knowledge/task/sync.py:48
|
||
#, python-brace-format
|
||
msgid "End--->End synchronization web knowledge base:{knowledge_id}"
|
||
msgstr "結束--->結束同步 web 知識庫:{knowledge_id}"
|
||
|
||
#: knowledge/task/sync.py:36 knowledge/task/sync.py:50
|
||
#, python-brace-format
|
||
msgid "Synchronize web knowledge base:{knowledge_id} error{error}{traceback}"
|
||
msgstr "同步 web 知識庫:{knowledge_id} 錯誤{error}{traceback}"
|
||
|
||
#: knowledge/views/knowledge.py:19 knowledge/views/knowledge.py:20
|
||
#| msgid "Get module"
|
||
msgid "Get knowledge by folder"
|
||
msgstr "根據文件夾獲取知識庫"
|
||
|
||
#: knowledge/views/knowledge.py:23 knowledge/views/knowledge.py:42
|
||
#: knowledge/views/knowledge.py:61
|
||
msgid "Knowledge Base"
|
||
msgstr "知識庫"
|
||
|
||
#: knowledge/views/knowledge.py:37 knowledge/views/knowledge.py:38
|
||
#| msgid "Create model"
|
||
msgid "Create base knowledge"
|
||
msgstr "創建知識庫"
|
||
|
||
#: knowledge/views/knowledge.py:56 knowledge/views/knowledge.py:57
|
||
#| msgid "Create model"
|
||
msgid "Create web knowledge"
|
||
msgstr "創建 web 知識庫"
|
||
|
||
#: maxkb/settings/base.py:85
|
||
msgid "Intelligent customer service platform"
|
||
msgstr "智能客服平臺"
|
||
|
||
#: models_provider/api/model.py:59
|
||
#: models_provider/serializers/model_serializer.py:107
|
||
#: models_provider/serializers/model_serializer.py:367
|
||
msgid "model id"
|
||
msgstr "模型ID"
|
||
|
||
#: models_provider/api/provide.py:17 models_provider/api/provide.py:23
|
||
#: models_provider/api/provide.py:28 models_provider/api/provide.py:30
|
||
#: models_provider/api/provide.py:82
|
||
#: models_provider/serializers/model_serializer.py:40
|
||
#: models_provider/serializers/model_serializer.py:218
|
||
#: models_provider/serializers/model_serializer.py:256
|
||
#: models_provider/serializers/model_serializer.py:321
|
||
msgid "model name"
|
||
msgstr "模型名稱"
|
||
|
||
#: models_provider/api/provide.py:18 models_provider/api/provide.py:38
|
||
#: models_provider/api/provide.py:76 models_provider/api/provide.py:104
|
||
#: models_provider/api/provide.py:126
|
||
#: models_provider/serializers/model_serializer.py:41
|
||
#: models_provider/serializers/model_serializer.py:257
|
||
#: models_provider/serializers/model_serializer.py:324
|
||
msgid "provider"
|
||
msgstr "供應商"
|
||
|
||
#: models_provider/api/provide.py:19
|
||
msgid "icon"
|
||
msgstr "圖標"
|
||
|
||
#: models_provider/api/provide.py:24
|
||
msgid "value"
|
||
msgstr "值"
|
||
|
||
#: models_provider/api/provide.py:29 models_provider/api/provide.py:70
|
||
#: models_provider/api/provide.py:98
|
||
#: models_provider/serializers/model_serializer.py:42
|
||
#: models_provider/serializers/model_serializer.py:220
|
||
#: models_provider/serializers/model_serializer.py:258
|
||
#: models_provider/serializers/model_serializer.py:322
|
||
msgid "model type"
|
||
msgstr "模型類型"
|
||
|
||
#: models_provider/api/provide.py:34 tools/serializers/tool.py:107
|
||
msgid "input type"
|
||
msgstr "輸入類型"
|
||
|
||
#: models_provider/api/provide.py:35
|
||
msgid "label"
|
||
msgstr "標籤"
|
||
|
||
#: models_provider/api/provide.py:36
|
||
msgid "text field"
|
||
msgstr "文本欄位"
|
||
|
||
#: models_provider/api/provide.py:37
|
||
msgid "value field"
|
||
msgstr "值"
|
||
|
||
#: models_provider/api/provide.py:39
|
||
msgid "method"
|
||
msgstr "方法"
|
||
|
||
#: models_provider/api/provide.py:40 tools/serializers/tool.py:92
|
||
#: tools/serializers/tool.py:106
|
||
msgid "required"
|
||
msgstr "必填"
|
||
|
||
#: models_provider/api/provide.py:41
|
||
msgid "default value"
|
||
msgstr "默認值"
|
||
|
||
#: models_provider/api/provide.py:42
|
||
msgid "relation show field dict"
|
||
msgstr "關係顯示欄位"
|
||
|
||
#: models_provider/api/provide.py:43
|
||
msgid "relation trigger field dict"
|
||
msgstr "關係觸發欄位"
|
||
|
||
#: models_provider/api/provide.py:44
|
||
msgid "trigger type"
|
||
msgstr "觸發類型"
|
||
|
||
#: models_provider/api/provide.py:45
|
||
msgid "attrs"
|
||
msgstr "屬性"
|
||
|
||
#: models_provider/api/provide.py:46
|
||
msgid "props info"
|
||
msgstr "props 信息"
|
||
|
||
#: models_provider/base_model_provider.py:60
|
||
msgid "Model type cannot be empty"
|
||
msgstr "模型類型不能為空"
|
||
|
||
#: models_provider/base_model_provider.py:85
|
||
msgid "The current platform does not support downloading models"
|
||
msgstr "當前平臺不支持下載模型"
|
||
|
||
#: models_provider/base_model_provider.py:143
|
||
msgid "LLM"
|
||
msgstr "大語言模型"
|
||
|
||
#: models_provider/base_model_provider.py:144
|
||
msgid "Embedding Model"
|
||
msgstr "向量模型"
|
||
|
||
#: models_provider/base_model_provider.py:145
|
||
msgid "Speech2Text"
|
||
msgstr "語音識別"
|
||
|
||
#: models_provider/base_model_provider.py:146
|
||
msgid "TTS"
|
||
msgstr "語音合成"
|
||
|
||
#: models_provider/base_model_provider.py:147
|
||
msgid "Vision Model"
|
||
msgstr "視覺模型"
|
||
|
||
#: models_provider/base_model_provider.py:148
|
||
msgid "Image Generation"
|
||
msgstr "圖片生成"
|
||
|
||
#: models_provider/base_model_provider.py:149
|
||
msgid "Rerank"
|
||
msgstr "重排模型"
|
||
|
||
#: models_provider/base_model_provider.py:223
|
||
msgid "The model does not support"
|
||
msgstr "模型不支持"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/aliyun_bai_lian_model_provider.py:42
|
||
msgid ""
|
||
"With the GTE-Rerank text sorting series model developed by Alibaba Tongyi "
|
||
"Lab, developers can integrate high-quality text retrieval and sorting "
|
||
"through the LlamaIndex framework."
|
||
msgstr ""
|
||
"阿里巴巴通義實驗室開發的GTE-Rerank文本排序系列模型，開發者可以通過LlamaIndex"
|
||
"框架進行集成高質量文本檢索、排序。"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/aliyun_bai_lian_model_provider.py:45
|
||
msgid ""
|
||
"Chinese (including various dialects such as Cantonese), English, Japanese, "
|
||
"and Korean support free switching between multiple languages."
|
||
msgstr "中文（含粵語等各種方言）、英文、日語、韓語支持多個語種自由切換"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/aliyun_bai_lian_model_provider.py:48
|
||
msgid ""
|
||
"CosyVoice is based on a new generation of large generative speech models, "
|
||
"which can predict emotions, intonation, rhythm, etc. based on context, and "
|
||
"has better anthropomorphic effects."
|
||
msgstr ""
|
||
"CosyVoice基於新一代生成式語音大模型，能根據上下文預測情緒、語調、韻律等，具有"
|
||
"更好的擬人效果"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/aliyun_bai_lian_model_provider.py:51
|
||
msgid ""
|
||
"Universal text vector is Tongyi Lab's multi-language text unified vector "
|
||
"model based on the LLM base. It provides high-level vector services for "
|
||
"multiple mainstream languages around the world and helps developers quickly "
|
||
"convert text data into high-quality vector data."
|
||
msgstr ""
|
||
"通用文本向量，是通義實驗室基於LLM底座的多語言文本統一向量模型，面向全球多個主"
|
||
"流語種，提供高水準的向量服務，幫助開發者將文本數據快速轉換為高質量的向量數"
|
||
"據。"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/aliyun_bai_lian_model_provider.py:69
|
||
msgid ""
|
||
"Tongyi Wanxiang - a large image model for text generation, supports "
|
||
"bilingual input in Chinese and English, and supports the input of reference "
|
||
"pictures for reference content or reference style migration. Key styles "
|
||
"include but are not limited to watercolor, oil painting, Chinese painting, "
|
||
"sketch, flat illustration, two-dimensional, and 3D. Cartoon."
|
||
msgstr ""
|
||
"通義萬相-文本生成圖像大模型，支持中英文雙語輸入，支持輸入參考圖片進行參考內容"
|
||
"或者參考風格遷移，重點風格包括但不限於水彩、油畫、中國畫、素描、扁平插畫、二"
|
||
"次元、3D卡通。"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/aliyun_bai_lian_model_provider.py:95
|
||
msgid "Alibaba Cloud Bailian"
|
||
msgstr "阿里雲百鍊"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/embedding.py:53
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/image.py:50
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/llm.py:74
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/reranker.py:61
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/model/tti.py:43
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/model/tts.py:37
|
||
#: models_provider/impl/anthropic_model_provider/credential/image.py:33
|
||
#: models_provider/impl/anthropic_model_provider/credential/llm.py:57
|
||
#: models_provider/impl/aws_bedrock_model_provider/credential/embedding.py:34
|
||
#: models_provider/impl/aws_bedrock_model_provider/credential/llm.py:53
|
||
#: models_provider/impl/azure_model_provider/credential/embedding.py:37
|
||
#: models_provider/impl/azure_model_provider/credential/image.py:40
|
||
#: models_provider/impl/azure_model_provider/credential/llm.py:69
|
||
#: models_provider/impl/deepseek_model_provider/credential/llm.py:57
|
||
#: models_provider/impl/gemini_model_provider/credential/embedding.py:36
|
||
#: models_provider/impl/gemini_model_provider/credential/image.py:32
|
||
#: models_provider/impl/gemini_model_provider/credential/llm.py:57
|
||
#: models_provider/impl/gemini_model_provider/model/stt.py:43
|
||
#: models_provider/impl/kimi_model_provider/credential/llm.py:57
|
||
#: models_provider/impl/local_model_provider/credential/embedding.py:36
|
||
#: models_provider/impl/local_model_provider/credential/reranker.py:37
|
||
#: models_provider/impl/ollama_model_provider/credential/embedding.py:37
|
||
#: models_provider/impl/ollama_model_provider/credential/reranker.py:44
|
||
#: models_provider/impl/openai_model_provider/credential/embedding.py:36
|
||
#: models_provider/impl/openai_model_provider/credential/image.py:35
|
||
#: models_provider/impl/openai_model_provider/credential/llm.py:59
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/embedding.py:36
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/image.py:35
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/llm.py:58
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/reranker.py:37
|
||
#: models_provider/impl/tencent_cloud_model_provider/credential/llm.py:58
|
||
#: models_provider/impl/tencent_model_provider/credential/embedding.py:23
|
||
#: models_provider/impl/tencent_model_provider/credential/image.py:37
|
||
#: models_provider/impl/tencent_model_provider/credential/llm.py:51
|
||
#: models_provider/impl/tencent_model_provider/model/tti.py:54
|
||
#: models_provider/impl/vllm_model_provider/credential/embedding.py:36
|
||
#: models_provider/impl/vllm_model_provider/credential/llm.py:50
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/embedding.py:36
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/image.py:32
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/llm.py:57
|
||
#: models_provider/impl/volcanic_engine_model_provider/model/tts.py:77
|
||
#: models_provider/impl/wenxin_model_provider/credential/embedding.py:31
|
||
#: models_provider/impl/wenxin_model_provider/credential/llm.py:60
|
||
#: models_provider/impl/xf_model_provider/credential/embedding.py:31
|
||
#: models_provider/impl/xf_model_provider/credential/llm.py:76
|
||
#: models_provider/impl/xf_model_provider/model/tts.py:101
|
||
#: models_provider/impl/xinference_model_provider/credential/embedding.py:31
|
||
#: models_provider/impl/xinference_model_provider/credential/image.py:32
|
||
#: models_provider/impl/xinference_model_provider/credential/llm.py:50
|
||
#: models_provider/impl/xinference_model_provider/credential/reranker.py:34
|
||
#: models_provider/impl/xinference_model_provider/model/tts.py:44
|
||
#: models_provider/impl/zhipu_model_provider/credential/image.py:31
|
||
#: models_provider/impl/zhipu_model_provider/credential/llm.py:56
|
||
#: models_provider/impl/zhipu_model_provider/model/tti.py:49
|
||
msgid "Hello"
|
||
msgstr "你好"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/image.py:36
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/llm.py:60
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/reranker.py:46
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/stt.py:44
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:96
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:89
|
||
#: models_provider/impl/anthropic_model_provider/credential/image.py:23
|
||
#: models_provider/impl/anthropic_model_provider/credential/llm.py:47
|
||
#: models_provider/impl/aws_bedrock_model_provider/credential/embedding.py:21
|
||
#: models_provider/impl/aws_bedrock_model_provider/credential/llm.py:40
|
||
#: models_provider/impl/azure_model_provider/credential/embedding.py:27
|
||
#: models_provider/impl/azure_model_provider/credential/image.py:30
|
||
#: models_provider/impl/azure_model_provider/credential/llm.py:59
|
||
#: models_provider/impl/azure_model_provider/credential/stt.py:23
|
||
#: models_provider/impl/azure_model_provider/credential/tti.py:58
|
||
#: models_provider/impl/azure_model_provider/credential/tts.py:41
|
||
#: models_provider/impl/deepseek_model_provider/credential/llm.py:47
|
||
#: models_provider/impl/gemini_model_provider/credential/embedding.py:26
|
||
#: models_provider/impl/gemini_model_provider/credential/image.py:22
|
||
#: models_provider/impl/gemini_model_provider/credential/llm.py:47
|
||
#: models_provider/impl/gemini_model_provider/credential/stt.py:21
|
||
#: models_provider/impl/kimi_model_provider/credential/llm.py:47
|
||
#: models_provider/impl/local_model_provider/credential/embedding.py:27
|
||
#: models_provider/impl/local_model_provider/credential/reranker.py:28
|
||
#: models_provider/impl/ollama_model_provider/credential/embedding.py:26
|
||
#: models_provider/impl/ollama_model_provider/credential/image.py:19
|
||
#: models_provider/impl/ollama_model_provider/credential/llm.py:44
|
||
#: models_provider/impl/ollama_model_provider/credential/reranker.py:27
|
||
#: models_provider/impl/ollama_model_provider/credential/reranker.py:31
|
||
#: models_provider/impl/openai_model_provider/credential/embedding.py:26
|
||
#: models_provider/impl/openai_model_provider/credential/image.py:25
|
||
#: models_provider/impl/openai_model_provider/credential/llm.py:48
|
||
#: models_provider/impl/openai_model_provider/credential/stt.py:22
|
||
#: models_provider/impl/openai_model_provider/credential/tti.py:61
|
||
#: models_provider/impl/openai_model_provider/credential/tts.py:40
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/embedding.py:26
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/image.py:25
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/llm.py:47
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/reranker.py:28
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/stt.py:22
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/tti.py:61
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/tts.py:22
|
||
#: models_provider/impl/tencent_cloud_model_provider/credential/llm.py:47
|
||
#: models_provider/impl/tencent_model_provider/credential/embedding.py:19
|
||
#: models_provider/impl/tencent_model_provider/credential/image.py:28
|
||
#: models_provider/impl/tencent_model_provider/credential/llm.py:31
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:78
|
||
#: models_provider/impl/vllm_model_provider/credential/embedding.py:26
|
||
#: models_provider/impl/vllm_model_provider/credential/image.py:22
|
||
#: models_provider/impl/vllm_model_provider/credential/llm.py:39
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/embedding.py:26
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/image.py:22
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/llm.py:47
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/stt.py:25
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/tti.py:41
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/tts.py:51
|
||
#: models_provider/impl/wenxin_model_provider/credential/embedding.py:27
|
||
#: models_provider/impl/wenxin_model_provider/credential/llm.py:46
|
||
#: models_provider/impl/xf_model_provider/credential/embedding.py:27
|
||
#: models_provider/impl/xf_model_provider/credential/image.py:29
|
||
#: models_provider/impl/xf_model_provider/credential/llm.py:66
|
||
#: models_provider/impl/xf_model_provider/credential/stt.py:24
|
||
#: models_provider/impl/xf_model_provider/credential/tts.py:47
|
||
#: models_provider/impl/xinference_model_provider/credential/embedding.py:19
|
||
#: models_provider/impl/xinference_model_provider/credential/image.py:22
|
||
#: models_provider/impl/xinference_model_provider/credential/llm.py:39
|
||
#: models_provider/impl/xinference_model_provider/credential/reranker.py:25
|
||
#: models_provider/impl/xinference_model_provider/credential/stt.py:21
|
||
#: models_provider/impl/xinference_model_provider/credential/tti.py:59
|
||
#: models_provider/impl/xinference_model_provider/credential/tts.py:39
|
||
#: models_provider/impl/zhipu_model_provider/credential/image.py:21
|
||
#: models_provider/impl/zhipu_model_provider/credential/llm.py:47
|
||
#: models_provider/impl/zhipu_model_provider/credential/tti.py:40
|
||
#, python-brace-format
|
||
msgid "{model_type} Model type is not supported"
|
||
msgstr "{model_type} 模型類型不支持"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/image.py:44
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/llm.py:68
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/reranker.py:55
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/stt.py:53
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:105
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:98
|
||
#, python-brace-format
|
||
msgid "{key} is required"
|
||
msgstr "{key} 是必填項"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/image.py:60
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/llm.py:82
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/reranker.py:69
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/stt.py:67
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:121
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:113
|
||
#: models_provider/impl/anthropic_model_provider/credential/image.py:43
|
||
#: models_provider/impl/anthropic_model_provider/credential/llm.py:65
|
||
#: models_provider/impl/aws_bedrock_model_provider/credential/embedding.py:42
|
||
#: models_provider/impl/aws_bedrock_model_provider/credential/llm.py:61
|
||
#: models_provider/impl/azure_model_provider/credential/image.py:50
|
||
#: models_provider/impl/azure_model_provider/credential/stt.py:40
|
||
#: models_provider/impl/azure_model_provider/credential/tti.py:77
|
||
#: models_provider/impl/azure_model_provider/credential/tts.py:58
|
||
#: models_provider/impl/deepseek_model_provider/credential/llm.py:65
|
||
#: models_provider/impl/gemini_model_provider/credential/embedding.py:43
|
||
#: models_provider/impl/gemini_model_provider/credential/image.py:42
|
||
#: models_provider/impl/gemini_model_provider/credential/llm.py:66
|
||
#: models_provider/impl/gemini_model_provider/credential/stt.py:38
|
||
#: models_provider/impl/kimi_model_provider/credential/llm.py:64
|
||
#: models_provider/impl/local_model_provider/credential/embedding.py:44
|
||
#: models_provider/impl/local_model_provider/credential/reranker.py:45
|
||
#: models_provider/impl/ollama_model_provider/credential/reranker.py:51
|
||
#: models_provider/impl/openai_model_provider/credential/embedding.py:43
|
||
#: models_provider/impl/openai_model_provider/credential/image.py:45
|
||
#: models_provider/impl/openai_model_provider/credential/llm.py:67
|
||
#: models_provider/impl/openai_model_provider/credential/stt.py:39
|
||
#: models_provider/impl/openai_model_provider/credential/tti.py:80
|
||
#: models_provider/impl/openai_model_provider/credential/tts.py:58
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/embedding.py:43
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/image.py:45
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/llm.py:66
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/reranker.py:44
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/stt.py:39
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/tti.py:80
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/tts.py:40
|
||
#: models_provider/impl/tencent_cloud_model_provider/credential/llm.py:66
|
||
#: models_provider/impl/tencent_model_provider/credential/embedding.py:30
|
||
#: models_provider/impl/tencent_model_provider/credential/image.py:47
|
||
#: models_provider/impl/tencent_model_provider/credential/llm.py:57
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:104
|
||
#: models_provider/impl/vllm_model_provider/credential/embedding.py:43
|
||
#: models_provider/impl/vllm_model_provider/credential/image.py:42
|
||
#: models_provider/impl/vllm_model_provider/credential/llm.py:55
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/embedding.py:43
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/image.py:42
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/llm.py:66
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/stt.py:42
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/tti.py:58
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/tts.py:68
|
||
#: models_provider/impl/wenxin_model_provider/credential/embedding.py:38
|
||
#: models_provider/impl/xf_model_provider/credential/embedding.py:38
|
||
#: models_provider/impl/xf_model_provider/credential/image.py:50
|
||
#: models_provider/impl/xf_model_provider/credential/llm.py:84
|
||
#: models_provider/impl/xf_model_provider/credential/stt.py:41
|
||
#: models_provider/impl/xf_model_provider/credential/tts.py:65
|
||
#: models_provider/impl/xinference_model_provider/credential/image.py:41
|
||
#: models_provider/impl/xinference_model_provider/credential/reranker.py:40
|
||
#: models_provider/impl/xinference_model_provider/credential/stt.py:37
|
||
#: models_provider/impl/xinference_model_provider/credential/tti.py:77
|
||
#: models_provider/impl/xinference_model_provider/credential/tts.py:56
|
||
#: models_provider/impl/zhipu_model_provider/credential/image.py:41
|
||
#: models_provider/impl/zhipu_model_provider/credential/llm.py:64
|
||
#: models_provider/impl/zhipu_model_provider/credential/tti.py:59
|
||
#, python-brace-format
|
||
msgid ""
|
||
"Verification failed, please check whether the parameters are correct: {error}"
|
||
msgstr "認證失敗，請檢查參數是否正確：{error}"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/llm.py:17
|
||
#: models_provider/impl/anthropic_model_provider/credential/llm.py:22
|
||
#: models_provider/impl/aws_bedrock_model_provider/credential/llm.py:14
|
||
#: models_provider/impl/azure_model_provider/credential/llm.py:23
|
||
#: models_provider/impl/deepseek_model_provider/credential/llm.py:22
|
||
#: models_provider/impl/gemini_model_provider/credential/llm.py:22
|
||
#: models_provider/impl/kimi_model_provider/credential/llm.py:22
|
||
#: models_provider/impl/ollama_model_provider/credential/llm.py:20
|
||
#: models_provider/impl/openai_model_provider/credential/llm.py:23
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/llm.py:22
|
||
#: models_provider/impl/tencent_cloud_model_provider/credential/llm.py:22
|
||
#: models_provider/impl/tencent_model_provider/credential/llm.py:14
|
||
#: models_provider/impl/vllm_model_provider/credential/llm.py:15
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/llm.py:22
|
||
#: models_provider/impl/wenxin_model_provider/credential/llm.py:22
|
||
#: models_provider/impl/xf_model_provider/credential/llm.py:22
|
||
#: models_provider/impl/xf_model_provider/credential/llm.py:41
|
||
#: models_provider/impl/xinference_model_provider/credential/llm.py:15
|
||
#: models_provider/impl/zhipu_model_provider/credential/llm.py:22
|
||
msgid "Temperature"
|
||
msgstr "溫度"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/llm.py:18
|
||
#: models_provider/impl/anthropic_model_provider/credential/llm.py:23
|
||
#: models_provider/impl/aws_bedrock_model_provider/credential/llm.py:15
|
||
#: models_provider/impl/azure_model_provider/credential/llm.py:24
|
||
#: models_provider/impl/deepseek_model_provider/credential/llm.py:23
|
||
#: models_provider/impl/gemini_model_provider/credential/llm.py:23
|
||
#: models_provider/impl/kimi_model_provider/credential/llm.py:23
|
||
#: models_provider/impl/ollama_model_provider/credential/llm.py:21
|
||
#: models_provider/impl/openai_model_provider/credential/llm.py:24
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/llm.py:23
|
||
#: models_provider/impl/tencent_cloud_model_provider/credential/llm.py:23
|
||
#: models_provider/impl/tencent_model_provider/credential/llm.py:15
|
||
#: models_provider/impl/vllm_model_provider/credential/llm.py:16
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/llm.py:23
|
||
#: models_provider/impl/wenxin_model_provider/credential/llm.py:23
|
||
#: models_provider/impl/xf_model_provider/credential/llm.py:23
|
||
#: models_provider/impl/xf_model_provider/credential/llm.py:42
|
||
#: models_provider/impl/xinference_model_provider/credential/llm.py:16
|
||
#: models_provider/impl/zhipu_model_provider/credential/llm.py:23
|
||
msgid ""
|
||
"Higher values make the output more random, while lower values make it more "
|
||
"focused and deterministic"
|
||
msgstr "較高的數值會使輸出更加隨機，而較低的數值會使其更加集中和確定"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/llm.py:30
|
||
#: models_provider/impl/anthropic_model_provider/credential/llm.py:31
|
||
#: models_provider/impl/aws_bedrock_model_provider/credential/llm.py:23
|
||
#: models_provider/impl/azure_model_provider/credential/llm.py:32
|
||
#: models_provider/impl/azure_model_provider/credential/llm.py:43
|
||
#: models_provider/impl/deepseek_model_provider/credential/llm.py:31
|
||
#: models_provider/impl/gemini_model_provider/credential/llm.py:31
|
||
#: models_provider/impl/kimi_model_provider/credential/llm.py:31
|
||
#: models_provider/impl/ollama_model_provider/credential/llm.py:29
|
||
#: models_provider/impl/openai_model_provider/credential/llm.py:32
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/llm.py:31
|
||
#: models_provider/impl/tencent_cloud_model_provider/credential/llm.py:31
|
||
#: models_provider/impl/vllm_model_provider/credential/llm.py:24
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/llm.py:31
|
||
#: models_provider/impl/wenxin_model_provider/credential/llm.py:31
|
||
#: models_provider/impl/xf_model_provider/credential/llm.py:31
|
||
#: models_provider/impl/xf_model_provider/credential/llm.py:50
|
||
#: models_provider/impl/xinference_model_provider/credential/llm.py:24
|
||
#: models_provider/impl/zhipu_model_provider/credential/llm.py:31
|
||
msgid "Output the maximum Tokens"
|
||
msgstr "輸出最大Token數"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/llm.py:31
|
||
msgid "Specify the maximum number of tokens that the model can generate."
|
||
msgstr "指定模型可以生成的最大 tokens 數"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/llm.py:44
|
||
#: models_provider/impl/anthropic_model_provider/credential/image.py:15
|
||
#: models_provider/impl/anthropic_model_provider/credential/llm.py:74
|
||
msgid "API URL"
|
||
msgstr ""
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/llm.py:45
|
||
#: models_provider/impl/anthropic_model_provider/credential/image.py:16
|
||
#: models_provider/impl/anthropic_model_provider/credential/llm.py:75
|
||
msgid "API Key"
|
||
msgstr ""
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:20
|
||
#: models_provider/impl/azure_model_provider/credential/tti.py:15
|
||
#: models_provider/impl/openai_model_provider/credential/tti.py:15
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/tti.py:15
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/tti.py:15
|
||
#: models_provider/impl/xinference_model_provider/credential/tti.py:14
|
||
#: models_provider/impl/zhipu_model_provider/credential/tti.py:15
|
||
#| msgid "page size"
|
||
msgid "Image size"
|
||
msgstr "每頁大小"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:20
|
||
#: models_provider/impl/azure_model_provider/credential/tti.py:15
|
||
msgid "Specify the size of the generated image, such as: 1024x1024"
|
||
msgstr "指定生成圖片的尺寸, 如: 1024x1024"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:34
|
||
#: models_provider/impl/azure_model_provider/credential/tti.py:40
|
||
#: models_provider/impl/openai_model_provider/credential/tti.py:43
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/tti.py:43
|
||
#: models_provider/impl/xinference_model_provider/credential/tti.py:41
|
||
msgid "Number of pictures"
|
||
msgstr "圖片數量"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:34
|
||
#: models_provider/impl/azure_model_provider/credential/tti.py:40
|
||
msgid "Specify the number of generated images"
|
||
msgstr "指定生成圖片的數量"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:44
|
||
msgid "Style"
|
||
msgstr "風格"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:44
|
||
msgid "Specify the style of generated images"
|
||
msgstr "指定生成圖片的風格"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:48
|
||
msgid "Default value, the image style is randomly output by the model"
|
||
msgstr "默認值，圖片風格由模型隨機輸出"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:49
|
||
msgid "photography"
|
||
msgstr "攝影"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:50
|
||
msgid "Portraits"
|
||
msgstr "人像寫真"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:51
|
||
msgid "3D cartoon"
|
||
msgstr "3D卡通"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:52
|
||
msgid "animation"
|
||
msgstr "動畫"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:53
|
||
msgid "painting"
|
||
msgstr "油畫"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:54
|
||
msgid "watercolor"
|
||
msgstr "水彩"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:55
|
||
msgid "sketch"
|
||
msgstr "素描"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:56
|
||
msgid "Chinese painting"
|
||
msgstr "中國畫"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:57
|
||
msgid "flat illustration"
|
||
msgstr "扁平插畫"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:20
|
||
#| msgid "timbre"
|
||
msgid "Timbre"
|
||
msgstr "音色"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:20
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/tts.py:15
|
||
msgid "Chinese sounds can support mixed scenes of Chinese and English"
|
||
msgstr "中文音色支持中英文混合場景"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:26
|
||
msgid "Long Xiaochun"
|
||
msgstr "龍小淳"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:27
|
||
msgid "Long Xiaoxia"
|
||
msgstr "龍小夏"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:28
|
||
msgid "Long Xiaochen"
|
||
msgstr "龍小誠"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:29
|
||
msgid "Long Xiaobai"
|
||
msgstr "龍小白"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:30
|
||
#| msgid "Long laotie"
|
||
msgid "Long Laotie"
|
||
msgstr "龍老鐵"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:31
|
||
msgid "Long Shu"
|
||
msgstr "龍書"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:32
|
||
msgid "Long Shuo"
|
||
msgstr "龍碩"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:33
|
||
msgid "Long Jing"
|
||
msgstr "龍婧"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:34
|
||
msgid "Long Miao"
|
||
msgstr "龍妙"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:35
|
||
msgid "Long Yue"
|
||
msgstr "龍悅"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:36
|
||
msgid "Long Yuan"
|
||
msgstr "龍媛"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:37
|
||
msgid "Long Fei"
|
||
msgstr "龍飛"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:38
|
||
msgid "Long Jielidou"
|
||
msgstr "龍傑力豆"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:39
|
||
msgid "Long Tong"
|
||
msgstr "龍彤"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:40
|
||
msgid "Long Xiang"
|
||
msgstr "龍祥"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:47
|
||
msgid "Speaking speed"
|
||
msgstr "語速"
|
||
|
||
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:47
|
||
msgid "[0.5, 2], the default is 1, usually one decimal place is enough"
|
||
msgstr "[0.5,2]，默認為1，通常一位小數就足夠了"
|
||
|
||
#: models_provider/impl/anthropic_model_provider/credential/image.py:28
|
||
#: models_provider/impl/anthropic_model_provider/credential/llm.py:52
|
||
#: models_provider/impl/azure_model_provider/credential/embedding.py:32
|
||
#: models_provider/impl/azure_model_provider/credential/image.py:35
|
||
#: models_provider/impl/azure_model_provider/credential/llm.py:64
|
||
#: models_provider/impl/azure_model_provider/credential/stt.py:28
|
||
#: models_provider/impl/azure_model_provider/credential/tti.py:63
|
||
#: models_provider/impl/azure_model_provider/credential/tts.py:46
|
||
#: models_provider/impl/deepseek_model_provider/credential/llm.py:52
|
||
#: models_provider/impl/gemini_model_provider/credential/embedding.py:31
|
||
#: models_provider/impl/gemini_model_provider/credential/image.py:27
|
||
#: models_provider/impl/gemini_model_provider/credential/llm.py:52
|
||
#: models_provider/impl/gemini_model_provider/credential/stt.py:26
|
||
#: models_provider/impl/kimi_model_provider/credential/llm.py:52
|
||
#: models_provider/impl/local_model_provider/credential/embedding.py:31
|
||
#: models_provider/impl/local_model_provider/credential/reranker.py:32
|
||
#: models_provider/impl/ollama_model_provider/credential/embedding.py:46
|
||
#: models_provider/impl/ollama_model_provider/credential/llm.py:62
|
||
#: models_provider/impl/ollama_model_provider/credential/reranker.py:63
|
||
#: models_provider/impl/openai_model_provider/credential/embedding.py:31
|
||
#: models_provider/impl/openai_model_provider/credential/image.py:30
|
||
#: models_provider/impl/openai_model_provider/credential/llm.py:53
|
||
#: models_provider/impl/openai_model_provider/credential/stt.py:27
|
||
#: models_provider/impl/openai_model_provider/credential/tti.py:66
|
||
#: models_provider/impl/openai_model_provider/credential/tts.py:45
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/embedding.py:31
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/image.py:30
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/llm.py:52
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/reranker.py:32
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/stt.py:27
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/tti.py:66
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/tts.py:27
|
||
#: models_provider/impl/tencent_cloud_model_provider/credential/llm.py:52
|
||
#: models_provider/impl/tencent_model_provider/credential/image.py:32
|
||
#: models_provider/impl/vllm_model_provider/credential/embedding.py:31
|
||
#: models_provider/impl/vllm_model_provider/credential/image.py:27
|
||
#: models_provider/impl/vllm_model_provider/credential/llm.py:65
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/embedding.py:31
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/image.py:27
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/llm.py:52
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/stt.py:30
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/tti.py:46
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/tts.py:56
|
||
#: models_provider/impl/wenxin_model_provider/credential/llm.py:55
|
||
#: models_provider/impl/wenxin_model_provider/credential/llm.py:72
|
||
#: models_provider/impl/xf_model_provider/credential/image.py:34
|
||
#: models_provider/impl/xf_model_provider/credential/llm.py:71
|
||
#: models_provider/impl/xf_model_provider/credential/stt.py:29
|
||
#: models_provider/impl/xf_model_provider/credential/tts.py:52
|
||
#: models_provider/impl/xinference_model_provider/credential/embedding.py:40
|
||
#: models_provider/impl/xinference_model_provider/credential/image.py:27
|
||
#: models_provider/impl/xinference_model_provider/credential/llm.py:59
|
||
#: models_provider/impl/xinference_model_provider/credential/reranker.py:29
|
||
#: models_provider/impl/xinference_model_provider/credential/stt.py:26
|
||
#: models_provider/impl/xinference_model_provider/credential/tti.py:64
|
||
#: models_provider/impl/xinference_model_provider/credential/tts.py:44
|
||
#: models_provider/impl/zhipu_model_provider/credential/image.py:26
|
||
#: models_provider/impl/zhipu_model_provider/credential/llm.py:51
|
||
#: models_provider/impl/zhipu_model_provider/credential/tti.py:45
|
||
#, python-brace-format
|
||
msgid "{key} is required"
|
||
msgstr "{key} 是必填項"
|
||
|
||
#: models_provider/impl/anthropic_model_provider/credential/llm.py:32
|
||
#: models_provider/impl/aws_bedrock_model_provider/credential/llm.py:24
|
||
#: models_provider/impl/azure_model_provider/credential/llm.py:33
|
||
#: models_provider/impl/azure_model_provider/credential/llm.py:44
|
||
#: models_provider/impl/deepseek_model_provider/credential/llm.py:32
|
||
#: models_provider/impl/gemini_model_provider/credential/llm.py:32
|
||
#: models_provider/impl/kimi_model_provider/credential/llm.py:32
|
||
#: models_provider/impl/ollama_model_provider/credential/llm.py:30
|
||
#: models_provider/impl/openai_model_provider/credential/llm.py:33
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/llm.py:32
|
||
#: models_provider/impl/tencent_cloud_model_provider/credential/llm.py:32
|
||
#: models_provider/impl/vllm_model_provider/credential/llm.py:25
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/llm.py:32
|
||
#: models_provider/impl/wenxin_model_provider/credential/llm.py:32
|
||
#: models_provider/impl/xf_model_provider/credential/llm.py:32
|
||
#: models_provider/impl/xf_model_provider/credential/llm.py:51
|
||
#: models_provider/impl/xinference_model_provider/credential/llm.py:25
|
||
#: models_provider/impl/zhipu_model_provider/credential/llm.py:32
|
||
msgid "Specify the maximum number of tokens that the model can generate"
|
||
msgstr "指定模型可以生成的最大 tokens 數"
|
||
|
||
#: models_provider/impl/aws_bedrock_model_provider/aws_bedrock_model_provider.py:36
|
||
msgid ""
|
||
"An update to Claude 2 that doubles the context window and improves "
|
||
"reliability, hallucination rates, and evidence-based accuracy in long "
|
||
"documents and RAG contexts."
|
||
msgstr ""
|
||
"Claude 2 的更新，採用雙倍的上下文窗口，並在長文檔和 RAG 上下文中提高可靠性、"
|
||
"幻覺率和循證準確性。"
|
||
|
||
#: models_provider/impl/aws_bedrock_model_provider/aws_bedrock_model_provider.py:43
|
||
msgid ""
|
||
"Anthropic is a powerful model that can handle a variety of tasks, from "
|
||
"complex dialogue and creative content generation to detailed command "
|
||
"obedience."
|
||
msgstr ""
|
||
"Anthropic 功能強大的模型，可處理各種任務，從複雜的對話和創意內容生成到詳細的"
|
||
"指令服從。"
|
||
|
||
#: models_provider/impl/aws_bedrock_model_provider/aws_bedrock_model_provider.py:50
|
||
msgid ""
|
||
"The Claude 3 Haiku is Anthropic's fastest and most compact model, with near-"
|
||
"instant responsiveness. The model can answer simple queries and requests "
|
||
"quickly. Customers will be able to build seamless AI experiences that mimic "
|
||
"human interactions. Claude 3 Haiku can process images and return text "
|
||
"output, and provides 200K context windows."
|
||
msgstr ""
|
||
"Claude 3 Haiku 是 Anthropic 最快速、最緊湊的模型，具有近乎即時的響應能力。該"
|
||
"模型可以快速回答簡單的查詢和請求。客戶將能夠構建模仿人類交互的無縫人工智慧體"
|
||
"驗。 Claude 3 Haiku 可以處理圖像和返回文本輸出，並且提供 200K 上下文窗口。"
|
||
|
||
#: models_provider/impl/aws_bedrock_model_provider/aws_bedrock_model_provider.py:57
|
||
msgid ""
|
||
"The Claude 3 Sonnet model from Anthropic strikes the ideal balance between "
|
||
"intelligence and speed, especially when it comes to handling enterprise "
|
||
"workloads. This model offers maximum utility while being priced lower than "
|
||
"competing products, and it's been engineered to be a solid choice for "
|
||
"deploying AI at scale."
|
||
msgstr ""
|
||
"Anthropic 推出的 Claude 3 Sonnet 模型在智能和速度之間取得理想的平衡，尤其是在"
|
||
"處理企業工作負載方面。該模型提供最大的效用，同時價格低於競爭產品，並且其經過"
|
||
"精心設計，是大規模部署人工智慧的可靠選擇。"
|
||
|
||
#: models_provider/impl/aws_bedrock_model_provider/aws_bedrock_model_provider.py:64
|
||
msgid ""
|
||
"The Claude 3.5 Sonnet raises the industry standard for intelligence, "
|
||
"outperforming competing models and the Claude 3 Opus in extensive "
|
||
"evaluations, with the speed and cost-effectiveness of our mid-range models."
|
||
msgstr ""
|
||
"Claude 3.5 Sonnet提高了智能的行業標準，在廣泛的評估中超越了競爭對手的型號和"
|
||
"Claude 3 Opus，具有我們中端型號的速度和成本效益。"
|
||
|
||
#: models_provider/impl/aws_bedrock_model_provider/aws_bedrock_model_provider.py:71
|
||
msgid ""
|
||
"A faster, more affordable but still very powerful model that can handle a "
|
||
"range of tasks including casual conversation, text analysis, summarization "
|
||
"and document question answering."
|
||
msgstr ""
|
||
"一種更快速、更實惠但仍然非常強大的模型，它可以處理一系列任務，包括隨意對話、"
|
||
"文本分析、摘要和文檔問題回答。"
|
||
|
||
#: models_provider/impl/aws_bedrock_model_provider/aws_bedrock_model_provider.py:78
|
||
msgid ""
|
||
"Titan Text Premier is the most powerful and advanced model in the Titan Text "
|
||
"series, designed to deliver exceptional performance for a variety of "
|
||
"enterprise applications. With its cutting-edge features, it delivers greater "
|
||
"accuracy and outstanding results, making it an excellent choice for "
|
||
"organizations looking for a top-notch text processing solution."
|
||
msgstr ""
|
||
"Titan Text Premier 是 Titan Text 系列中功能強大且先進的型號，旨在為各種企業應"
|
||
"用程序提供卓越的性能。憑藉其尖端功能，它提供了更高的準確性和出色的結果，使其"
|
||
"成為尋求一流文本處理解決方案的組織的絕佳選擇。"
|
||
|
||
#: models_provider/impl/aws_bedrock_model_provider/aws_bedrock_model_provider.py:85
|
||
msgid ""
|
||
"Amazon Titan Text Lite is a lightweight, efficient model ideal for fine-"
|
||
"tuning English-language tasks, including summarization and copywriting, "
|
||
"where customers require smaller, more cost-effective, and highly "
|
||
"customizable models."
|
||
msgstr ""
|
||
"Amazon Titan Text Lite 是一種輕量級的高效模型，非常適合英語任務的微調，包括摘"
|
||
"要和文案寫作等，在這種場景下，客戶需要更小、更經濟高效且高度可定製的模型"
|
||
|
||
#: models_provider/impl/aws_bedrock_model_provider/aws_bedrock_model_provider.py:91
|
||
msgid ""
|
||
"Amazon Titan Text Express has context lengths of up to 8,000 tokens, making "
|
||
"it ideal for a variety of high-level general language tasks, such as open-"
|
||
"ended text generation and conversational chat, as well as support in "
|
||
"retrieval-augmented generation (RAG). At launch, the model is optimized for "
|
||
"English, but other languages are supported."
|
||
msgstr ""
|
||
"Amazon Titan Text Express 的上下文長度長達 8000 個 tokens，因而非常適合各種高"
|
||
"級常規語言任務，例如開放式文本生成和對話式聊天，以及檢索增強生成（RAG）中的支"
|
||
"持。在發布時，該模型針對英語進行了優化，但也支持其他語言。"
|
||
|
||
#: models_provider/impl/aws_bedrock_model_provider/aws_bedrock_model_provider.py:97
|
||
msgid ""
|
||
"7B dense converter for rapid deployment and easy customization. Small in "
|
||
"size yet powerful in a variety of use cases. Supports English and code, as "
|
||
"well as 32k context windows."
|
||
msgstr ""
|
||
"7B 密集型轉換器，可快速部署，易於定製。體積雖小，但功能強大，適用於各種用例。"
|
||
"支持英語和代碼，以及 32k 的上下文窗口。"
|
||
|
||
#: models_provider/impl/aws_bedrock_model_provider/aws_bedrock_model_provider.py:103
|
||
msgid ""
|
||
"Advanced Mistral AI large-scale language model capable of handling any "
|
||
"language task, including complex multilingual reasoning, text understanding, "
|
||
"transformation, and code generation."
|
||
msgstr ""
|
||
"先進的 Mistral AI 大型語言模型，能夠處理任何語言任務，包括複雜的多語言推理、"
|
||
"文本理解、轉換和代碼生成。"
|
||
|
||
#: models_provider/impl/aws_bedrock_model_provider/aws_bedrock_model_provider.py:109
|
||
msgid ""
|
||
"Ideal for content creation, conversational AI, language understanding, R&D, "
|
||
"and enterprise applications"
|
||
msgstr "非常適合內容創作、會話式人工智慧、語言理解、研發和企業應用"
|
||
|
||
#: models_provider/impl/aws_bedrock_model_provider/aws_bedrock_model_provider.py:115
|
||
msgid ""
|
||
"Ideal for limited computing power and resources, edge devices, and faster "
|
||
"training times."
|
||
msgstr "非常適合有限的計算能力和資源、邊緣設備和更快的訓練時間。"
|
||
|
||
#: models_provider/impl/aws_bedrock_model_provider/aws_bedrock_model_provider.py:123
|
||
msgid ""
|
||
"Titan Embed Text is the largest embedding model in the Amazon Titan Embed "
|
||
"series and can handle various text embedding tasks, such as text "
|
||
"classification, text similarity calculation, etc."
|
||
msgstr ""
|
||
"Titan Embed Text 是 Amazon Titan Embed 系列中最大的嵌入模型，可以處理各種文本"
|
||
"嵌入任務，如文本分類、文本相似度計算等。"
|
||
|
||
#: models_provider/impl/aws_bedrock_model_provider/credential/embedding.py:28
|
||
#: models_provider/impl/aws_bedrock_model_provider/credential/llm.py:47
|
||
#, python-brace-format
|
||
msgid "The following fields are required: {keys}"
|
||
msgstr "以下欄位是必填項: {keys}"
|
||
|
||
#: models_provider/impl/azure_model_provider/credential/embedding.py:44
|
||
#: models_provider/impl/azure_model_provider/credential/llm.py:76
|
||
msgid "Verification failed, please check whether the parameters are correct"
|
||
msgstr "認證失敗，請檢查參數是否正確"
|
||
|
||
#: models_provider/impl/azure_model_provider/credential/tti.py:28
|
||
#: models_provider/impl/openai_model_provider/credential/tti.py:29
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/tti.py:29
|
||
#: models_provider/impl/xinference_model_provider/credential/tti.py:28
|
||
msgid "Picture quality"
|
||
msgstr "圖片質量"
|
||
|
||
#: models_provider/impl/azure_model_provider/credential/tts.py:17
|
||
#: models_provider/impl/openai_model_provider/credential/tts.py:17
|
||
msgid ""
|
||
"Try out the different sounds (Alloy, Echo, Fable, Onyx, Nova, and Sparkle) "
|
||
"to find one that suits your desired tone and audience. The current voiceover "
|
||
"is optimized for English."
|
||
msgstr ""
|
||
"嘗試不同的聲音（合金、回聲、寓言、縞瑪瑙、新星和閃光），找到一種適合您所需的"
|
||
"音調和聽眾的聲音。當前的語音針對英語進行了優化。"
|
||
|
||
#: models_provider/impl/deepseek_model_provider/deepseek_model_provider.py:24
|
||
msgid "Good at common conversational tasks, supports 32K contexts"
|
||
msgstr "擅長通用對話任務，支持 32K 上下文"
|
||
|
||
#: models_provider/impl/deepseek_model_provider/deepseek_model_provider.py:29
|
||
msgid "Good at handling programming tasks, supports 16K contexts"
|
||
msgstr "擅長處理編程任務，支持 16K 上下文"
|
||
|
||
#: models_provider/impl/gemini_model_provider/gemini_model_provider.py:32
|
||
msgid "Latest Gemini 1.0 Pro model, updated with Google update"
|
||
msgstr "最新的 Gemini 1.0 Pro 模型，更新了 Google 更新"
|
||
|
||
#: models_provider/impl/gemini_model_provider/gemini_model_provider.py:36
|
||
msgid "Latest Gemini 1.0 Pro Vision model, updated with Google update"
|
||
msgstr "最新的Gemini 1.0 Pro Vision模型，隨Google更新而更新"
|
||
|
||
#: models_provider/impl/gemini_model_provider/gemini_model_provider.py:43
|
||
#: models_provider/impl/gemini_model_provider/gemini_model_provider.py:47
|
||
#: models_provider/impl/gemini_model_provider/gemini_model_provider.py:54
|
||
#: models_provider/impl/gemini_model_provider/gemini_model_provider.py:58
|
||
msgid "Latest Gemini 1.5 Flash model, updated with Google updates"
|
||
msgstr "最新的Gemini 1.5 Flash模型，隨Google更新而更新"
|
||
|
||
#: models_provider/impl/gemini_model_provider/model/stt.py:53
|
||
msgid "convert audio to text"
|
||
msgstr "將音頻轉換為文本"
|
||
|
||
#: models_provider/impl/local_model_provider/credential/embedding.py:53
|
||
#: models_provider/impl/local_model_provider/credential/reranker.py:54
|
||
msgid "Model catalog"
|
||
msgstr "模型目錄"
|
||
|
||
#: models_provider/impl/local_model_provider/local_model_provider.py:39
|
||
msgid "local model"
|
||
msgstr "本地模型"
|
||
|
||
#: models_provider/impl/ollama_model_provider/credential/embedding.py:30
|
||
#: models_provider/impl/ollama_model_provider/credential/image.py:23
|
||
#: models_provider/impl/ollama_model_provider/credential/llm.py:48
|
||
#: models_provider/impl/ollama_model_provider/credential/reranker.py:35
|
||
#: models_provider/impl/vllm_model_provider/credential/llm.py:43
|
||
#: models_provider/impl/xinference_model_provider/credential/embedding.py:24
|
||
#: models_provider/impl/xinference_model_provider/credential/llm.py:44
|
||
msgid "API domain name is invalid"
|
||
msgstr "API 域名無效"
|
||
|
||
#: models_provider/impl/ollama_model_provider/credential/embedding.py:35
|
||
#: models_provider/impl/ollama_model_provider/credential/image.py:28
|
||
#: models_provider/impl/ollama_model_provider/credential/llm.py:53
|
||
#: models_provider/impl/ollama_model_provider/credential/reranker.py:40
|
||
#: models_provider/impl/vllm_model_provider/credential/llm.py:47
|
||
#: models_provider/impl/xinference_model_provider/credential/embedding.py:30
|
||
#: models_provider/impl/xinference_model_provider/credential/llm.py:48
|
||
msgid "The model does not exist, please download the model first"
|
||
msgstr "模型不存在，請先下載模型"
|
||
|
||
#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:56
|
||
msgid ""
|
||
"Llama 2 is a set of pretrained and fine-tuned generative text models ranging "
|
||
"in size from 7 billion to 70 billion. This is a repository of 7B pretrained "
|
||
"models. Links to other models can be found in the index at the bottom."
|
||
msgstr ""
|
||
"Llama 2 是一組經過預訓練和微調的生成文本模型，其規模從 70 億到 700 億個不等。"
|
||
"這是 7B 預訓練模型的存儲庫。其他模型的連結可以在底部的索引中找到。"
|
||
|
||
#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:60
|
||
msgid ""
|
||
"Llama 2 is a set of pretrained and fine-tuned generative text models ranging "
|
||
"in size from 7 billion to 70 billion. This is a repository of 13B pretrained "
|
||
"models. Links to other models can be found in the index at the bottom."
|
||
msgstr ""
|
||
"Llama 2 是一組經過預訓練和微調的生成文本模型，其規模從 70 億到 700 億個不等。"
|
||
"這是 13B 預訓練模型的存儲庫。其他模型的連結可以在底部的索引中找到。"
|
||
|
||
#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:64
|
||
msgid ""
|
||
"Llama 2 is a set of pretrained and fine-tuned generative text models ranging "
|
||
"in size from 7 billion to 70 billion. This is a repository of 70B pretrained "
|
||
"models. Links to other models can be found in the index at the bottom."
|
||
msgstr ""
|
||
"Llama 2 是一組經過預訓練和微調的生成文本模型，其規模從 70 億到 700 億個不等。"
|
||
"這是 70B 預訓練模型的存儲庫。其他模型的連結可以在底部的索引中找到。"
|
||
|
||
#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:68
|
||
msgid ""
|
||
"Since the Chinese alignment of Llama2 itself is weak, we use the Chinese "
|
||
"instruction set to fine-tune meta-llama/Llama-2-13b-chat-hf with LoRA so "
|
||
"that it has strong Chinese conversation capabilities."
|
||
msgstr ""
|
||
"由於Llama2本身的中文對齊較弱，我們採用中文指令集，對meta-llama/Llama-2-13b-"
|
||
"chat-hf進行LoRA微調，使其具備較強的中文對話能力。"
|
||
|
||
#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:72
|
||
msgid ""
|
||
"Meta Llama 3: The most capable public product LLM to date. 8 billion "
|
||
"parameters."
|
||
msgstr "Meta Llama 3：迄今為止最有能力的公開產品LLM。80億參數。"
|
||
|
||
#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:76
|
||
msgid ""
|
||
"Meta Llama 3: The most capable public product LLM to date. 70 billion "
|
||
"parameters."
|
||
msgstr "Meta Llama 3：迄今為止最有能力的公開產品LLM。700億參數。"
|
||
|
||
#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:80
|
||
msgid ""
|
||
"Compared with previous versions, qwen 1.5 0.5b has significantly enhanced "
|
||
"the model's alignment with human preferences and its multi-language "
|
||
"processing capabilities. Models of all sizes support a context length of "
|
||
"32768 tokens. 500 million parameters."
|
||
msgstr ""
|
||
"qwen 1.5 0.5b 相較於以往版本，模型與人類偏好的對齊程度以及多語言處理能力上有"
|
||
"顯著增強。所有規模的模型都支持32768個tokens的上下文長度。5億參數。"
|
||
|
||
#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:84
|
||
msgid ""
|
||
"Compared with previous versions, qwen 1.5 1.8b has significantly enhanced "
|
||
"the model's alignment with human preferences and its multi-language "
|
||
"processing capabilities. Models of all sizes support a context length of "
|
||
"32768 tokens. 1.8 billion parameters."
|
||
msgstr ""
|
||
"qwen 1.5 1.8b 相較於以往版本，模型與人類偏好的對齊程度以及多語言處理能力上有"
|
||
"顯著增強。所有規模的模型都支持32768個tokens的上下文長度。18億參數。"
|
||
|
||
#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:88
|
||
msgid ""
|
||
"Compared with previous versions, qwen 1.5 4b has significantly enhanced the "
|
||
"model's alignment with human preferences and its multi-language processing "
|
||
"capabilities. Models of all sizes support a context length of 32768 tokens. "
|
||
"4 billion parameters."
|
||
msgstr ""
|
||
"qwen 1.5 4b 相較於以往版本，模型與人類偏好的對齊程度以及多語言處理能力上有顯"
|
||
"著增強。所有規模的模型都支持32768個tokens的上下文長度。40億參數。"
|
||
|
||
#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:93
|
||
msgid ""
|
||
"Compared with previous versions, qwen 1.5 7b has significantly enhanced the "
|
||
"model's alignment with human preferences and its multi-language processing "
|
||
"capabilities. Models of all sizes support a context length of 32768 tokens. "
|
||
"7 billion parameters."
|
||
msgstr ""
|
||
"qwen 1.5 7b 相較於以往版本，模型與人類偏好的對齊程度以及多語言處理能力上有顯"
|
||
"著增強。所有規模的模型都支持32768個tokens的上下文長度。70億參數。"
|
||
|
||
#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:97
|
||
msgid ""
|
||
"Compared with previous versions, qwen 1.5 14b has significantly enhanced the "
|
||
"model's alignment with human preferences and its multi-language processing "
|
||
"capabilities. Models of all sizes support a context length of 32768 tokens. "
|
||
"14 billion parameters."
|
||
msgstr ""
|
||
"qwen 1.5 14b 相較於以往版本，模型與人類偏好的對齊程度以及多語言處理能力上有顯"
|
||
"著增強。所有規模的模型都支持32768個tokens的上下文長度。140億參數。"
|
||
|
||
#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:101
|
||
msgid ""
|
||
"Compared with previous versions, qwen 1.5 32b has significantly enhanced the "
|
||
"model's alignment with human preferences and its multi-language processing "
|
||
"capabilities. Models of all sizes support a context length of 32768 tokens. "
|
||
"32 billion parameters."
|
||
msgstr ""
|
||
"qwen 1.5 32b 相較於以往版本，模型與人類偏好的對齊程度以及多語言處理能力上有顯"
|
||
"著增強。所有規模的模型都支持32768個tokens的上下文長度。320億參數。"
|
||
|
||
#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:105
|
||
msgid ""
|
||
"Compared with previous versions, qwen 1.5 72b has significantly enhanced the "
|
||
"model's alignment with human preferences and its multi-language processing "
|
||
"capabilities. Models of all sizes support a context length of 32768 tokens. "
|
||
"72 billion parameters."
|
||
msgstr ""
|
||
"qwen 1.5 72b 相較於以往版本，模型與人類偏好的對齊程度以及多語言處理能力上有顯"
|
||
"著增強。所有規模的模型都支持32768個tokens的上下文長度。720億參數。"
|
||
|
||
#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:109
|
||
msgid ""
|
||
"Compared with previous versions, qwen 1.5 110b has significantly enhanced "
|
||
"the model's alignment with human preferences and its multi-language "
|
||
"processing capabilities. Models of all sizes support a context length of "
|
||
"32768 tokens. 110 billion parameters."
|
||
msgstr ""
|
||
"qwen 1.5 110b 相較於以往版本，模型與人類偏好的對齊程度以及多語言處理能力上有"
|
||
"顯著增強。所有規模的模型都支持32768個tokens的上下文長度。1100億參數。"
|
||
|
||
#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:153
|
||
#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:193
|
||
msgid ""
|
||
"Phi-3 Mini is Microsoft's 3.8B parameter, lightweight, state-of-the-art open "
|
||
"model."
|
||
msgstr "Phi-3 Mini是Microsoft的3.8B參數，輕量級，最先進的開放模型。"
|
||
|
||
#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:162
|
||
#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:197
|
||
msgid ""
|
||
"A high-performance open embedding model with a large token context window."
|
||
msgstr "一個具有大 tokens上下文窗口的高性能開放嵌入模型。"
|
||
|
||
#: models_provider/impl/openai_model_provider/credential/tti.py:16
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/tti.py:16
|
||
msgid ""
|
||
"The image generation endpoint allows you to create raw images based on text "
|
||
"prompts. When using the DALL·E 3, the image size can be 1024x1024, 1024x1792 "
|
||
"or 1792x1024 pixels."
|
||
msgstr ""
|
||
"圖像生成端點允許您根據文本提示創建原始圖像。使用 DALL·E 3 時，圖像的尺寸可以"
|
||
"為 1024x1024、1024x1792 或 1792x1024 像素。"
|
||
|
||
#: models_provider/impl/openai_model_provider/credential/tti.py:29
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/tti.py:29
|
||
msgid ""
|
||
" \n"
|
||
"By default, images are produced in standard quality, but with DALL·E 3 you "
|
||
"can set quality: \"hd\" to enhance detail. Square, standard quality images "
|
||
"are generated fastest.\n"
|
||
" "
|
||
msgstr ""
|
||
"默認情況下，圖像以標準質量生成，但使用 DALL·E 3 時，您可以設置質量：「hd」以增"
|
||
"強細節。方形、標準質量的圖像生成速度最快。"
|
||
|
||
#: models_provider/impl/openai_model_provider/credential/tti.py:44
|
||
#: models_provider/impl/siliconCloud_model_provider/credential/tti.py:44
|
||
msgid ""
|
||
"You can use DALL·E 3 to request 1 image at a time (requesting more images by "
|
||
"issuing parallel requests), or use DALL·E 2 with the n parameter to request "
|
||
"up to 10 images at a time."
|
||
msgstr ""
|
||
"您可以使用 DALL·E 3 一次請求 1 個圖像（通過發出並行請求來請求更多圖像），或者"
|
||
"使用帶有 n 參數的 DALL·E 2 一次最多請求 10 個圖像。"
|
||
|
||
#: models_provider/impl/openai_model_provider/openai_model_provider.py:35
|
||
#: models_provider/impl/openai_model_provider/openai_model_provider.py:119
|
||
#: models_provider/impl/siliconCloud_model_provider/siliconCloud_model_provider.py:118
|
||
msgid "The latest gpt-3.5-turbo, updated with OpenAI adjustments"
|
||
msgstr "最新的gpt-3.5-turbo，隨OpenAI調整而更新"
|
||
|
||
#: models_provider/impl/openai_model_provider/openai_model_provider.py:38
|
||
msgid "Latest gpt-4, updated with OpenAI adjustments"
|
||
msgstr "最新的gpt-4，隨OpenAI調整而更新"
|
||
|
||
#: models_provider/impl/openai_model_provider/openai_model_provider.py:40
|
||
#: models_provider/impl/openai_model_provider/openai_model_provider.py:99
|
||
msgid ""
|
||
"The latest GPT-4o, cheaper and faster than gpt-4-turbo, updated with OpenAI "
|
||
"adjustments"
|
||
msgstr "最新的GPT-4o，比gpt-4-turbo更便宜、更快，隨OpenAI調整而更新"
|
||
|
||
#: models_provider/impl/openai_model_provider/openai_model_provider.py:43
|
||
#: models_provider/impl/openai_model_provider/openai_model_provider.py:102
|
||
msgid ""
|
||
"The latest gpt-4o-mini, cheaper and faster than gpt-4o, updated with OpenAI "
|
||
"adjustments"
|
||
msgstr "最新的gpt-4o-mini，比gpt-4o更便宜、更快，隨OpenAI調整而更新"
|
||
|
||
#: models_provider/impl/openai_model_provider/openai_model_provider.py:46
|
||
msgid "The latest gpt-4-turbo, updated with OpenAI adjustments"
|
||
msgstr "最新的gpt-4-turbo，隨OpenAI調整而更新"
|
||
|
||
#: models_provider/impl/openai_model_provider/openai_model_provider.py:49
|
||
msgid "The latest gpt-4-turbo-preview, updated with OpenAI adjustments"
|
||
msgstr "最新的gpt-4-turbo-preview，隨OpenAI調整而更新"
|
||
|
||
#: models_provider/impl/openai_model_provider/openai_model_provider.py:53
|
||
msgid ""
|
||
"gpt-3.5-turbo snapshot on January 25, 2024, supporting context length 16,385 "
|
||
"tokens"
|
||
msgstr "2024年1月25日的gpt-3.5-turbo快照，支持上下文長度16,385 tokens"
|
||
|
||
#: models_provider/impl/openai_model_provider/openai_model_provider.py:57
|
||
msgid ""
|
||
"gpt-3.5-turbo snapshot on November 6, 2023, supporting context length 16,385 "
|
||
"tokens"
|
||
msgstr "2023年11月6日的gpt-3.5-turbo快照，支持上下文長度16,385 tokens"
|
||
|
||
#: models_provider/impl/openai_model_provider/openai_model_provider.py:61
|
||
msgid ""
|
||
"[Legacy] gpt-3.5-turbo snapshot on June 13, 2023, will be deprecated on June "
|
||
"13, 2024"
|
||
msgstr "[Legacy] 2023年6月13日的gpt-3.5-turbo快照，將於2024年6月13日棄用"
|
||
|
||
#: models_provider/impl/openai_model_provider/openai_model_provider.py:65
|
||
msgid ""
|
||
"gpt-4o snapshot on May 13, 2024, supporting context length 128,000 tokens"
|
||
msgstr "2024年5月13日的gpt-4o快照，支持上下文長度128,000 tokens"
|
||
|
||
#: models_provider/impl/openai_model_provider/openai_model_provider.py:69
|
||
msgid ""
|
||
"gpt-4-turbo snapshot on April 9, 2024, supporting context length 128,000 "
|
||
"tokens"
|
||
msgstr "2024年4月9日的gpt-4-turbo快照，支持上下文長度128,000 tokens"
|
||
|
||
#: models_provider/impl/openai_model_provider/openai_model_provider.py:72
|
||
msgid ""
|
||
"gpt-4-turbo snapshot on January 25, 2024, supporting context length 128,000 "
|
||
"tokens"
|
||
msgstr "2024年1月25日的gpt-4-turbo快照，支持上下文長度128,000 tokens"
|
||
|
||
#: models_provider/impl/openai_model_provider/openai_model_provider.py:75
|
||
msgid ""
|
||
"gpt-4-turbo snapshot on November 6, 2023, supporting context length 128,000 "
|
||
"tokens"
|
||
msgstr "2023年11月6日的gpt-4-turbo快照，支持上下文長度128,000 tokens"
|
||
|
||
#: models_provider/impl/tencent_cloud_model_provider/tencent_cloud_model_provider.py:58
|
||
msgid "Tencent Cloud"
|
||
msgstr "騰訊雲"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/llm.py:41
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:88
|
||
#, python-brace-format
|
||
msgid "{keys} is required"
|
||
msgstr "{keys} 是必填項"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:14
|
||
msgid "painting style"
|
||
msgstr "繪畫風格"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:14
|
||
msgid "If not passed, the default value is 201 (Japanese anime style)"
|
||
msgstr "如果未傳遞，則默認值為201（日本動漫風格）"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:18
|
||
msgid "Not limited to style"
|
||
msgstr "不限於風格"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:19
|
||
msgid "ink painting"
|
||
msgstr "水墨畫"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:20
|
||
msgid "concept art"
|
||
msgstr "概念藝術"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:21
|
||
msgid "Oil painting 1"
|
||
msgstr "油畫1"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:22
|
||
msgid "Oil Painting 2 (Van Gogh)"
|
||
msgstr "油畫2（梵谷）"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:23
|
||
msgid "watercolor painting"
|
||
msgstr "水彩畫"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:24
|
||
msgid "pixel art"
|
||
msgstr "像素畫"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:25
|
||
msgid "impasto style"
|
||
msgstr "厚塗風格"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:26
|
||
msgid "illustration"
|
||
msgstr "插圖"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:27
|
||
msgid "paper cut style"
|
||
msgstr "剪紙風格"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:28
|
||
msgid "Impressionism 1 (Monet)"
|
||
msgstr "印象派1（莫奈）"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:29
|
||
msgid "Impressionism 2"
|
||
msgstr "印象派2"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:31
|
||
msgid "classical portraiture"
|
||
msgstr "古典肖像畫"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:32
|
||
msgid "black and white sketch"
|
||
msgstr "黑白素描畫"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:33
|
||
msgid "cyberpunk"
|
||
msgstr "賽博朋克"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:34
|
||
msgid "science fiction style"
|
||
msgstr "科幻風格"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:35
|
||
msgid "dark style"
|
||
msgstr "暗黑風格"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:37
|
||
msgid "vaporwave"
|
||
msgstr "蒸汽波"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:38
|
||
msgid "Japanese animation"
|
||
msgstr "日系動漫"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:39
|
||
msgid "monster style"
|
||
msgstr "怪獸風格"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:40
|
||
msgid "Beautiful ancient style"
|
||
msgstr "唯美古風"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:41
|
||
msgid "retro anime"
|
||
msgstr "復古動漫"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:42
|
||
msgid "Game cartoon hand drawing"
|
||
msgstr "遊戲卡通手繪"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:43
|
||
msgid "Universal realistic style"
|
||
msgstr "通用寫實風格"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:50
|
||
msgid "Generate image resolution"
|
||
msgstr "生成圖像解析度"
|
||
|
||
#: models_provider/impl/tencent_model_provider/credential/tti.py:50
|
||
msgid "If not transmitted, the default value is 768:768."
|
||
msgstr "不傳默認使用768:768。"
|
||
|
||
#: models_provider/impl/tencent_model_provider/tencent_model_provider.py:38
|
||
msgid ""
|
||
"The most effective version of the current hybrid model, the trillion-level "
|
||
"parameter scale MOE-32K long article model. Reaching the absolute leading "
|
||
"level on various benchmarks, with complex instructions and reasoning, "
|
||
"complex mathematical capabilities, support for function call, and "
|
||
"application focus optimization in fields such as multi-language translation, "
|
||
"finance, law, and medical care"
|
||
msgstr ""
|
||
"當前混元模型中效果最優版本，萬億級參數規模 MOE-32K 長文模型。在各種 "
|
||
"benchmark 上達到絕對領先的水平，複雜指令和推理，具備複雜數學能力，支持 "
|
||
"functioncall，在多語言翻譯、金融法律醫療等領域應用重點優化"
|
||
|
||
#: models_provider/impl/tencent_model_provider/tencent_model_provider.py:45
|
||
msgid ""
|
||
"A better routing strategy is adopted to simultaneously alleviate the "
|
||
"problems of load balancing and expert convergence. For long articles, the "
|
||
"needle-in-a-haystack index reaches 99.9%"
|
||
msgstr ""
|
||
"採用更優的路由策略，同時緩解了負載均衡和專家趨同的問題。長文方面，大海撈針指"
|
||
"標達到99.9%"
|
||
|
||
#: models_provider/impl/tencent_model_provider/tencent_model_provider.py:51
|
||
msgid ""
|
||
"Upgraded to MOE structure, the context window is 256k, leading many open "
|
||
"source models in multiple evaluation sets such as NLP, code, mathematics, "
|
||
"industry, etc."
|
||
msgstr ""
|
||
"升級為 MOE 結構，上下文窗口為 256k ，在 NLP，代碼，數學，行業等多項評測集上領"
|
||
"先眾多開源模型"
|
||
|
||
#: models_provider/impl/tencent_model_provider/tencent_model_provider.py:57
|
||
msgid ""
|
||
"Hunyuan's latest version of the role-playing model, a role-playing model "
|
||
"launched by Hunyuan's official fine-tuning training, is based on the Hunyuan "
|
||
"model combined with the role-playing scene data set for additional training, "
|
||
"and has better basic effects in role-playing scenes."
|
||
msgstr ""
|
||
"混元最新版角色扮演模型，混元官方精調訓練推出的角色扮演模型，基於混元模型結合"
|
||
"角色扮演場景數據集進行增訓，在角色扮演場景具有更好的基礎效果"
|
||
|
||
#: models_provider/impl/tencent_model_provider/tencent_model_provider.py:63
|
||
msgid ""
|
||
"Hunyuan's latest MOE architecture FunctionCall model has been trained with "
|
||
"high-quality FunctionCall data and has a context window of 32K, leading in "
|
||
"multiple dimensions of evaluation indicators."
|
||
msgstr ""
|
||
"混元最新 MOE 架構 FunctionCall 模型，經過高質量的 FunctionCall 數據訓練，上下"
|
||
"文窗口達 32K，在多個維度的評測指標上處於領先。"
|
||
|
||
#: models_provider/impl/tencent_model_provider/tencent_model_provider.py:69
|
||
msgid ""
|
||
"Hunyuan's latest code generation model, after training the base model with "
|
||
"200B high-quality code data, and iterating on high-quality SFT data for half "
|
||
"a year, the context long window length has been increased to 8K, and it "
|
||
"ranks among the top in the automatic evaluation indicators of code "
|
||
"generation in the five major languages; the five major languages In the "
|
||
"manual high-quality evaluation of 10 comprehensive code tasks that consider "
|
||
"all aspects, the performance is in the first echelon."
|
||
msgstr ""
|
||
"混元最新代碼生成模型，經過 200B 高質量代碼數據增訓基座模型，迭代半年高質量 "
|
||
"SFT 數據訓練，上下文長窗口長度增大到 8K，五大語言代碼生成自動評測指標上位居前"
|
||
"列；五大語言10項考量各方面綜合代碼任務人工高質量評測上，性能處於第一梯隊"
|
||
|
||
#: models_provider/impl/tencent_model_provider/tencent_model_provider.py:77
|
||
msgid ""
|
||
"Tencent's Hunyuan Embedding interface can convert text into high-quality "
|
||
"vector data. The vector dimension is 1024 dimensions."
|
||
msgstr ""
|
||
"騰訊混元 Embedding 接口，可以將文本轉化為高質量的向量數據。向量維度為1024維。"
|
||
|
||
#: models_provider/impl/tencent_model_provider/tencent_model_provider.py:87
|
||
msgid "Mixed element visual model"
|
||
msgstr "混元視覺模型"
|
||
|
||
#: models_provider/impl/tencent_model_provider/tencent_model_provider.py:94
|
||
msgid "Hunyuan graph model"
|
||
msgstr "混元生圖模型"
|
||
|
||
#: models_provider/impl/tencent_model_provider/tencent_model_provider.py:125
|
||
msgid "Tencent Hunyuan"
|
||
msgstr "騰訊混元"
|
||
|
||
#: models_provider/impl/vllm_model_provider/vllm_model_provider.py:24
|
||
#: models_provider/impl/vllm_model_provider/vllm_model_provider.py:42
|
||
msgid "Facebook’s 125M parameter model"
|
||
msgstr "Facebook的125M參數模型"
|
||
|
||
#: models_provider/impl/vllm_model_provider/vllm_model_provider.py:25
|
||
msgid "BAAI’s 7B parameter model"
|
||
msgstr "BAAI的7B參數模型"
|
||
|
||
#: models_provider/impl/vllm_model_provider/vllm_model_provider.py:26
|
||
msgid "BAAI’s 13B parameter mode"
|
||
msgstr "BAAI的13B參數模型"
|
||
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/tti.py:16
|
||
msgid ""
|
||
"If the gap between width, height and 512 is too large, the picture rendering "
|
||
"effect will be poor and the probability of excessive delay will increase "
|
||
"significantly. Recommended ratio and corresponding width and height before "
|
||
"super score: width*height"
|
||
msgstr ""
|
||
"寬、高與512差距過大，則出圖效果不佳、延遲過長概率顯著增加。超分前建議比例及對"
|
||
"應寬高：width*height"
|
||
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/tts.py:15
|
||
#: models_provider/impl/xinference_model_provider/credential/tts.py:15
|
||
msgid "timbre"
|
||
msgstr "音色"
|
||
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/tts.py:31
|
||
#: models_provider/impl/xf_model_provider/credential/tts.py:28
|
||
#| msgid "Speaking speed"
|
||
msgid "speaking speed"
|
||
msgstr "語速"
|
||
|
||
#: models_provider/impl/volcanic_engine_model_provider/credential/tts.py:31
|
||
msgid "[0.2,3], the default is 1, usually one decimal place is enough"
|
||
msgstr "[0.2,3]，默認為1，通常保留一位小數即可"
|
||
|
||
#: models_provider/impl/volcanic_engine_model_provider/volcanic_engine_model_provider.py:39
|
||
#: models_provider/impl/volcanic_engine_model_provider/volcanic_engine_model_provider.py:44
|
||
#: models_provider/impl/volcanic_engine_model_provider/volcanic_engine_model_provider.py:88
|
||
msgid ""
|
||
"The user goes to the model inference page of Volcano Ark to create an "
|
||
"inference access point. Here, you need to enter ep-xxxxxxxxxx-yyyy to call "
|
||
"it."
|
||
msgstr ""
|
||
"用戶前往火山方舟的模型推理頁面創建推理接入點，這裡需要輸入ep-xxxxxxxxxx-yyyy"
|
||
"進行調用"
|
||
|
||
#: models_provider/impl/volcanic_engine_model_provider/volcanic_engine_model_provider.py:59
|
||
msgid "Universal 2.0-Vincent Diagram"
|
||
msgstr "通用2.0-文生圖"
|
||
|
||
#: models_provider/impl/volcanic_engine_model_provider/volcanic_engine_model_provider.py:64
|
||
msgid "Universal 2.0Pro-Vincent Chart"
|
||
msgstr "通用2.0Pro-文生圖"
|
||
|
||
#: models_provider/impl/volcanic_engine_model_provider/volcanic_engine_model_provider.py:69
|
||
msgid "Universal 1.4-Vincent Chart"
|
||
msgstr "通用1.4-文生圖"
|
||
|
||
#: models_provider/impl/volcanic_engine_model_provider/volcanic_engine_model_provider.py:74
|
||
msgid "Animation 1.3.0-Vincent Picture"
|
||
msgstr "動漫1.3.0-文生圖"
|
||
|
||
#: models_provider/impl/volcanic_engine_model_provider/volcanic_engine_model_provider.py:79
|
||
msgid "Animation 1.3.1-Vincent Picture"
|
||
msgstr "動漫1.3.1-文生圖"
|
||
|
||
#: models_provider/impl/volcanic_engine_model_provider/volcanic_engine_model_provider.py:113
|
||
msgid "volcano engine"
|
||
msgstr "火山引擎"
|
||
|
||
#: models_provider/impl/wenxin_model_provider/credential/llm.py:51
|
||
#, python-brace-format
|
||
msgid "{model_name} The model does not support"
|
||
msgstr "{model_name} 模型不支持"
|
||
|
||
#: models_provider/impl/wenxin_model_provider/wenxin_model_provider.py:24
|
||
#: models_provider/impl/wenxin_model_provider/wenxin_model_provider.py:53
|
||
msgid ""
|
||
"ERNIE-Bot-4 is a large language model independently developed by Baidu. It "
|
||
"covers massive Chinese data and has stronger capabilities in dialogue Q&A, "
|
||
"content creation and generation."
|
||
msgstr ""
|
||
"ERNIE-Bot-4是百度自行研發的大語言模型，覆蓋海量中文數據，具有更強的對話問答、"
|
||
"內容創作生成等能力。"
|
||
|
||
#: models_provider/impl/wenxin_model_provider/wenxin_model_provider.py:27
|
||
msgid ""
|
||
"ERNIE-Bot is a large language model independently developed by Baidu. It "
|
||
"covers massive Chinese data and has stronger capabilities in dialogue Q&A, "
|
||
"content creation and generation."
|
||
msgstr ""
|
||
"ERNIE-Bot是百度自行研發的大語言模型，覆蓋海量中文數據，具有更強的對話問答、內"
|
||
"容創作生成等能力。"
|
||
|
||
#: models_provider/impl/wenxin_model_provider/wenxin_model_provider.py:30
|
||
msgid ""
|
||
"ERNIE-Bot-turbo is a large language model independently developed by Baidu. "
|
||
"It covers massive Chinese data, has stronger capabilities in dialogue Q&A, "
|
||
"content creation and generation, and has a faster response speed."
|
||
msgstr ""
|
||
"ERNIE-Bot-turbo是百度自行研發的大語言模型，覆蓋海量中文數據，具有更強的對話問"
|
||
"答、內容創作生成等能力，響應速度更快。"
|
||
|
||
#: models_provider/impl/wenxin_model_provider/wenxin_model_provider.py:33
|
||
msgid ""
|
||
"BLOOMZ-7B is a well-known large language model in the industry. It was "
|
||
"developed and open sourced by BigScience and can output text in 46 languages "
|
||
"and 13 programming languages."
|
||
msgstr ""
|
||
"BLOOMZ-7B是業內知名的大語言模型，由BigScience研發並開源，能夠以46種語言和13種"
|
||
"程式語言輸出文本。"
|
||
|
||
#: models_provider/impl/wenxin_model_provider/wenxin_model_provider.py:39
|
||
msgid ""
|
||
"Llama-2-13b-chat was developed by Meta AI and is open source. It performs "
|
||
"well in scenarios such as coding, reasoning and knowledge application. "
|
||
"Llama-2-13b-chat is a native open source version with balanced performance "
|
||
"and effect, suitable for conversation scenarios."
|
||
msgstr ""
|
||
"Llama-2-13b-chat由Meta AI研發並開源，在編碼、推理及知識應用等場景表現優秀，"
|
||
"Llama-2-13b-chat是性能與效果均衡的原生開源版本，適用於對話場景。"
|
||
|
||
#: models_provider/impl/wenxin_model_provider/wenxin_model_provider.py:42
|
||
msgid ""
|
||
"Llama-2-70b-chat was developed by Meta AI and is open source. It performs "
|
||
"well in scenarios such as coding, reasoning, and knowledge application. "
|
||
"Llama-2-70b-chat is a native open source version with high-precision effects."
|
||
msgstr ""
|
||
"Llama-2-70b-chat由Meta AI研發並開源，在編碼、推理及知識應用等場景表現優秀，"
|
||
"Llama-2-70b-chat是高精度效果的原生開源版本。"
|
||
|
||
#: models_provider/impl/wenxin_model_provider/wenxin_model_provider.py:45
|
||
msgid ""
|
||
"The Chinese enhanced version developed by the Qianfan team based on "
|
||
"Llama-2-7b has performed well on Chinese knowledge bases such as CMMLU and C-"
|
||
"EVAL."
|
||
msgstr ""
|
||
"千帆團隊在Llama-2-7b基礎上的中文增強版本，在CMMLU、C-EVAL等中文知識庫上表現優"
|
||
"異。"
|
||
|
||
#: models_provider/impl/wenxin_model_provider/wenxin_model_provider.py:49
|
||
msgid ""
|
||
"Embedding-V1 is a text representation model based on Baidu Wenxin large "
|
||
"model technology. It can convert text into a vector form represented by "
|
||
"numerical values and can be used in text retrieval, information "
|
||
"recommendation, knowledge mining and other scenarios. Embedding-V1 provides "
|
||
"the Embeddings interface, which can generate corresponding vector "
|
||
"representations based on input content. You can call this interface to input "
|
||
"text into the model and obtain the corresponding vector representation for "
|
||
"subsequent text processing and analysis."
|
||
msgstr ""
|
||
"Embedding-V1是一個基於百度文心大模型技術的文本表示模型，可以將文本轉化為用數"
|
||
"值表示的向量形式，用於文本檢索、信息推薦、知識挖掘等場景。 Embedding-V1提供了"
|
||
"Embeddings接口，可以根據輸入內容生成對應的向量表示。您可以通過調用該接口，將"
|
||
"文本輸入到模型中，獲取到對應的向量表示，從而進行後續的文本處理和分析。"
|
||
|
||
#: models_provider/impl/wenxin_model_provider/wenxin_model_provider.py:66
|
||
msgid "Thousand sails large model"
|
||
msgstr "千帆大模型"
|
||
|
||
#: models_provider/impl/xf_model_provider/credential/image.py:42
|
||
msgid "Please outline this picture"
|
||
msgstr "請描述這張圖片"
|
||
|
||
#: models_provider/impl/xf_model_provider/credential/tts.py:15
|
||
msgid "Speaker"
|
||
msgstr "發音人"
|
||
|
||
#: models_provider/impl/xf_model_provider/credential/tts.py:16
|
||
msgid ""
|
||
"Speaker, optional value: Please go to the console to add a trial or purchase "
|
||
"speaker. After adding, the speaker parameter value will be displayed."
|
||
msgstr ""
|
||
"發音人，可選值：請到控制臺添加試用或購買發音人，添加後即顯示發音人參數值"
|
||
|
||
#: models_provider/impl/xf_model_provider/credential/tts.py:21
|
||
msgid "iFlytek Xiaoyan"
|
||
msgstr "訊飛小燕"
|
||
|
||
#: models_provider/impl/xf_model_provider/credential/tts.py:22
|
||
msgid "iFlytek Xujiu"
|
||
msgstr "訊飛許久"
|
||
|
||
#: models_provider/impl/xf_model_provider/credential/tts.py:23
|
||
msgid "iFlytek Xiaoping"
|
||
msgstr "訊飛小萍"
|
||
|
||
#: models_provider/impl/xf_model_provider/credential/tts.py:24
|
||
msgid "iFlytek Xiaojing"
|
||
msgstr "訊飛小婧"
|
||
|
||
#: models_provider/impl/xf_model_provider/credential/tts.py:25
|
||
msgid "iFlytek Xuxiaobao"
|
||
msgstr "訊飛許小寶"
|
||
|
||
#: models_provider/impl/xf_model_provider/credential/tts.py:28
|
||
msgid "Speech speed, optional value: [0-100], default is 50"
|
||
msgstr "語速，可選值：[0-100]，默認為50"
|
||
|
||
#: models_provider/impl/xf_model_provider/xf_model_provider.py:39
|
||
#: models_provider/impl/xf_model_provider/xf_model_provider.py:50
|
||
msgid "Chinese and English recognition"
|
||
msgstr "中英文識別"
|
||
|
||
#: models_provider/impl/xf_model_provider/xf_model_provider.py:66
|
||
msgid "iFlytek Spark"
|
||
msgstr "訊飛星火"
|
||
|
||
#: models_provider/impl/xinference_model_provider/credential/tti.py:15
|
||
msgid ""
|
||
"The image generation endpoint allows you to create raw images based on text "
|
||
"prompts. The dimensions of the image can be 1024x1024, 1024x1792, or "
|
||
"1792x1024 pixels."
|
||
msgstr ""
|
||
"圖像生成端點允許您根據文本提示創建原始圖像。圖像的尺寸可以為 1024x1024、"
|
||
"1024x1792 或 1792x1024 像素。"
|
||
|
||
#: models_provider/impl/xinference_model_provider/credential/tti.py:29
|
||
msgid ""
|
||
"By default, images are generated in standard quality, you can set quality: "
|
||
"\"hd\" to enhance detail. Square, standard quality images are generated "
|
||
"fastest."
|
||
msgstr ""
|
||
"默認情況下，圖像以標準質量生成，您可以設置質量：「hd」以增強細節。方形、標準質"
|
||
"量的圖像生成速度最快。"
|
||
|
||
#: models_provider/impl/xinference_model_provider/credential/tti.py:42
|
||
msgid ""
|
||
"You can request 1 image at a time (requesting more images by making parallel "
|
||
"requests), or up to 10 images at a time using the n parameter."
|
||
msgstr ""
|
||
"您可以一次請求 1 個圖像（通過發出並行請求來請求更多圖像），或者使用 n 參數一"
|
||
"次最多請求 10 個圖像。"
|
||
|
||
#: models_provider/impl/xinference_model_provider/credential/tts.py:20
|
||
msgid "Chinese female"
|
||
msgstr "中文女"
|
||
|
||
#: models_provider/impl/xinference_model_provider/credential/tts.py:21
|
||
msgid "Chinese male"
|
||
msgstr "中文男"
|
||
|
||
#: models_provider/impl/xinference_model_provider/credential/tts.py:22
|
||
msgid "Japanese male"
|
||
msgstr "日語男"
|
||
|
||
#: models_provider/impl/xinference_model_provider/credential/tts.py:23
|
||
msgid "Cantonese female"
|
||
msgstr "粵語女"
|
||
|
||
#: models_provider/impl/xinference_model_provider/credential/tts.py:24
|
||
msgid "English female"
|
||
msgstr "英文女"
|
||
|
||
#: models_provider/impl/xinference_model_provider/credential/tts.py:25
|
||
msgid "English male"
|
||
msgstr "英文男"
|
||
|
||
#: models_provider/impl/xinference_model_provider/credential/tts.py:26
|
||
msgid "Korean female"
|
||
msgstr "韓語女"
|
||
|
||
#: models_provider/impl/xinference_model_provider/xinference_model_provider.py:37
|
||
msgid ""
|
||
"Code Llama is a language model specifically designed for code generation."
|
||
msgstr "Code Llama 是一個專門用於代碼生成的語言模型。"
|
||
|
||
#: models_provider/impl/xinference_model_provider/xinference_model_provider.py:44
|
||
msgid ""
|
||
" \n"
|
||
"Code Llama Instruct is a fine-tuned version of Code Llama's instructions, "
|
||
"designed to perform specific tasks.\n"
|
||
" "
|
||
msgstr ""
|
||
"Code Llama Instruct 是 Code Llama 的指令微調版本，專為執行特定任務而設計。"
|
||
|
||
#: models_provider/impl/xinference_model_provider/xinference_model_provider.py:53
|
||
msgid ""
|
||
"Code Llama Python is a language model specifically designed for Python code "
|
||
"generation."
|
||
msgstr "Code Llama Python 是一個專門用於 Python 代碼生成的語言模型。"
|
||
|
||
#: models_provider/impl/xinference_model_provider/xinference_model_provider.py:60
|
||
msgid ""
|
||
"CodeQwen 1.5 is a language model for code generation with high performance."
|
||
msgstr "CodeQwen 1.5 是一個用於代碼生成的語言模型，具有較高的性能。"
|
||
|
||
#: models_provider/impl/xinference_model_provider/xinference_model_provider.py:67
|
||
msgid "CodeQwen 1.5 Chat is a chat model version of CodeQwen 1.5."
|
||
msgstr "CodeQwen 1.5 Chat 是一個聊天模型版本的 CodeQwen 1.5。"
|
||
|
||
#: models_provider/impl/xinference_model_provider/xinference_model_provider.py:74
|
||
msgid "Deepseek is a large-scale language model with 13 billion parameters."
|
||
msgstr "Deepseek Chat 是一個聊天模型版本的 Deepseek。"
|
||
|
||
#: models_provider/impl/zhipu_model_provider/credential/tti.py:16
|
||
msgid ""
|
||
"Image size, only cogview-3-plus supports this parameter. Optional range: "
|
||
"[1024x1024,768x1344,864x1152,1344x768,1152x864,1440x720,720x1440], the "
|
||
"default is 1024x1024."
|
||
msgstr ""
|
||
"圖片尺寸，僅 cogview-3-plus 支持該參數。可選範圍："
|
||
"[1024x1024,768x1344,864x1152,1344x768,1152x864,1440x720,720x1440]，默認是"
|
||
"1024x1024。"
|
||
|
||
#: models_provider/impl/zhipu_model_provider/zhipu_model_provider.py:34
|
||
msgid ""
|
||
"Have strong multi-modal understanding capabilities. Able to understand up to "
|
||
"five images simultaneously and supports video content understanding"
|
||
msgstr "具有強大的多模態理解能力。能夠同時理解多達五張圖像，並支持視頻內容理解"
|
||
|
||
#: models_provider/impl/zhipu_model_provider/zhipu_model_provider.py:37
|
||
msgid ""
|
||
"Focus on single picture understanding. Suitable for scenarios requiring "
|
||
"efficient image analysis"
|
||
msgstr "專注於單圖理解。適用於需要高效圖像解析的場景"
|
||
|
||
#: models_provider/impl/zhipu_model_provider/zhipu_model_provider.py:40
|
||
msgid ""
|
||
"Focus on single picture understanding. Suitable for scenarios requiring "
|
||
"efficient image analysis (free)"
|
||
msgstr "專注於單圖理解。適用於需要高效圖像解析的場景(免費)"
|
||
|
||
#: models_provider/impl/zhipu_model_provider/zhipu_model_provider.py:46
|
||
msgid ""
|
||
"Quickly and accurately generate images based on user text descriptions. "
|
||
"Resolution supports 1024x1024"
|
||
msgstr "根據用戶文字描述快速、精準生成圖像。解析度支持1024x1024"
|
||
|
||
#: models_provider/impl/zhipu_model_provider/zhipu_model_provider.py:49
|
||
msgid ""
|
||
"Generate high-quality images based on user text descriptions, supporting "
|
||
"multiple image sizes"
|
||
msgstr "根據用戶文字描述生成高質量圖像，支持多圖片尺寸"
|
||
|
||
#: models_provider/impl/zhipu_model_provider/zhipu_model_provider.py:52
|
||
msgid ""
|
||
"Generate high-quality images based on user text descriptions, supporting "
|
||
"multiple image sizes (free)"
|
||
msgstr "根據用戶文字描述生成高質量圖像，支持多圖片尺寸(免費)"
|
||
|
||
#: models_provider/impl/zhipu_model_provider/zhipu_model_provider.py:75
|
||
msgid "zhipu AI"
|
||
msgstr "智譜 AI"
|
||
|
||
#: models_provider/serializers/model_serializer.py:43
|
||
#: models_provider/serializers/model_serializer.py:222
|
||
#: models_provider/serializers/model_serializer.py:259
|
||
#: models_provider/serializers/model_serializer.py:323
|
||
msgid "base model"
|
||
msgstr "基礎模型"
|
||
|
||
#: models_provider/serializers/model_serializer.py:44
|
||
#: models_provider/serializers/model_serializer.py:260
|
||
msgid "parameter configuration"
|
||
msgstr "參數配置"
|
||
|
||
#: models_provider/serializers/model_serializer.py:45
|
||
#: models_provider/serializers/model_serializer.py:225
|
||
#: models_provider/serializers/model_serializer.py:261
|
||
#| msgid "Get current user information"
|
||
msgid "certification information"
|
||
msgstr "認證信息"
|
||
|
||
#: models_provider/serializers/model_serializer.py:233
|
||
#: models_provider/serializers/model_serializer.py:272
|
||
#, python-brace-format
|
||
msgid "base model【{model_name}】already exists"
|
||
msgstr "模型【{model_name}】已存在"
|
||
|
||
#: models_provider/serializers/model_serializer.py:312
|
||
msgid "Model saving failed"
|
||
msgstr "模型保存失敗"
|
||
|
||
#: models_provider/serializers/model_serializer.py:325
|
||
msgid "create user"
|
||
msgstr "創建者"
|
||
|
||
#: models_provider/views/model.py:28 models_provider/views/model.py:29
|
||
#: models_provider/views/model.py:30
|
||
msgid "Create model"
|
||
msgstr "創建模型"
|
||
|
||
#: models_provider/views/model.py:31 models_provider/views/model.py:59
|
||
#: models_provider/views/model.py:77 models_provider/views/model.py:90
|
||
#: models_provider/views/model.py:102 models_provider/views/model.py:117
|
||
#: models_provider/views/model.py:130 models_provider/views/model.py:148
|
||
#: models_provider/views/model.py:164 models_provider/views/provide.py:25
|
||
#: models_provider/views/provide.py:49 models_provider/views/provide.py:64
|
||
#: models_provider/views/provide.py:83 models_provider/views/provide.py:101
|
||
msgid "Model"
|
||
msgstr "模型"
|
||
|
||
#: models_provider/views/model.py:54 models_provider/views/model.py:55
|
||
#: models_provider/views/model.py:56
|
||
msgid "Query model list"
|
||
msgstr "查詢模型列表"
|
||
|
||
#: models_provider/views/model.py:71 models_provider/views/model.py:72
|
||
#: models_provider/views/model.py:73
|
||
msgid "Update model"
|
||
msgstr "更新模型"
|
||
|
||
#: models_provider/views/model.py:85 models_provider/views/model.py:86
|
||
#: models_provider/views/model.py:87
|
||
msgid "Delete model"
|
||
msgstr "刪除模型"
|
||
|
||
#: models_provider/views/model.py:97 models_provider/views/model.py:98
|
||
#: models_provider/views/model.py:99
|
||
msgid "Query model details"
|
||
msgstr "查詢模型詳情"
|
||
|
||
#: models_provider/views/model.py:112 models_provider/views/model.py:113
|
||
#: models_provider/views/model.py:114
|
||
msgid "Get model parameter form"
|
||
msgstr "獲取模型參數表單"
|
||
|
||
#: models_provider/views/model.py:124 models_provider/views/model.py:125
|
||
#: models_provider/views/model.py:126
|
||
msgid "Save model parameter form"
|
||
msgstr "保存模型參數表單"
|
||
|
||
#: models_provider/views/model.py:141 models_provider/views/model.py:143
|
||
#: models_provider/views/model.py:145
|
||
msgid ""
|
||
"Query model meta information, this interface does not carry authentication "
|
||
"information"
|
||
msgstr "查詢模型元信息，該接口不攜帶認證信息"
|
||
|
||
#: models_provider/views/model.py:158 models_provider/views/model.py:159
|
||
#: models_provider/views/model.py:160
|
||
msgid "Pause model download"
|
||
msgstr "下載模型暫停"
|
||
|
||
#: models_provider/views/provide.py:21 models_provider/views/provide.py:22
|
||
#: models_provider/views/provide.py:23
|
||
msgid "Get a list of model suppliers"
|
||
msgstr "獲取模型供應商列表"
|
||
|
||
#: models_provider/views/provide.py:44 models_provider/views/provide.py:45
|
||
#: models_provider/views/provide.py:46
|
||
msgid "Get a list of model types"
|
||
msgstr "獲取模型類型列表"
|
||
|
||
#: models_provider/views/provide.py:59 models_provider/views/provide.py:60
|
||
#: models_provider/views/provide.py:61
|
||
msgid "Example of obtaining model list"
|
||
msgstr "獲取模型列表示例"
|
||
|
||
#: models_provider/views/provide.py:78 models_provider/views/provide.py:79
|
||
#: models_provider/views/provide.py:80
|
||
msgid "Get model default parameters"
|
||
msgstr "獲取模型默認參數"
|
||
|
||
#: models_provider/views/provide.py:96 models_provider/views/provide.py:97
|
||
#: models_provider/views/provide.py:98
|
||
msgid "Get the model creation form"
|
||
msgstr "獲取模型創建表單"
|
||
|
||
#: tools/serializers/tool.py:91 tools/serializers/tool.py:153
|
||
msgid "variable name"
|
||
msgstr "變量名稱"
|
||
|
||
#: tools/serializers/tool.py:93
|
||
msgid "type"
|
||
msgstr "類型"
|
||
|
||
#: tools/serializers/tool.py:95
|
||
msgid "fields only support string|int|dict|array|float"
|
||
msgstr "欄位僅支持字符串|整數|字典|數組|浮點數"
|
||
|
||
#: tools/serializers/tool.py:99
|
||
msgid "The field only supports custom|reference"
|
||
msgstr "欄位僅支持自定義|引用"
|
||
|
||
#: tools/serializers/tool.py:104
|
||
#| msgid "model name"
|
||
msgid "field name"
|
||
msgstr "欄位名稱"
|
||
|
||
#: tools/serializers/tool.py:105
|
||
#| msgid "label"
|
||
msgid "field label"
|
||
msgstr "標籤"
|
||
|
||
#: tools/serializers/tool.py:115 tools/serializers/tool.py:133
|
||
#: tools/serializers/tool.py:340
|
||
msgid "tool name"
|
||
msgstr "工具名稱"
|
||
|
||
#: tools/serializers/tool.py:118 tools/serializers/tool.py:136
|
||
msgid "tool description"
|
||
msgstr "工具描述"
|
||
|
||
#: tools/serializers/tool.py:120 tools/serializers/tool.py:138
|
||
#: tools/serializers/tool.py:158
|
||
msgid "tool content"
|
||
msgstr "工具內容"
|
||
|
||
#: tools/serializers/tool.py:123 tools/serializers/tool.py:141
|
||
#: tools/serializers/tool.py:160
|
||
msgid "input field list"
|
||
msgstr "輸入欄位列表"
|
||
|
||
#: tools/serializers/tool.py:125 tools/serializers/tool.py:143
|
||
#: tools/serializers/tool.py:161
|
||
msgid "init field list"
|
||
msgstr "內置欄位列表"
|
||
|
||
#: tools/serializers/tool.py:145 tools/serializers/tool.py:162
|
||
msgid "init params"
|
||
msgstr "內置參數"
|
||
|
||
#: tools/serializers/tool.py:154
|
||
#| msgid "variable name"
|
||
msgid "variable value"
|
||
msgstr "變量名稱"
|
||
|
||
#: tools/serializers/tool.py:218
|
||
msgid "field has no value set"
|
||
msgstr "欄位未設置值"
|
||
|
||
#: tools/serializers/tool.py:234 tools/serializers/tool.py:239
|
||
msgid "type error"
|
||
msgstr "類型錯誤"
|
||
|
||
#: tools/serializers/tool.py:242
|
||
#, python-brace-format
|
||
msgid "Field: {name} Type: {_type} Value: {value} Type conversion error"
|
||
msgstr "欄位：{name} 類型：{_type} 值：{value} 類型轉換錯誤"
|
||
|
||
#: tools/serializers/tool.py:247
|
||
#| msgid "model id"
|
||
msgid "tool id"
|
||
msgstr "工具 ID"
|
||
|
||
#: tools/serializers/tool.py:255
|
||
msgid "Tool not found"
|
||
msgstr "工具不存在"
|
||
|
||
#: tools/serializers/tool.py:290
|
||
msgid "file"
|
||
msgstr "文件"
|
||
|
||
#: tools/serializers/tool.py:291 users/api/user.py:39 users/api/user.py:51
|
||
#: users/api/user.py:67 users/serializers/user.py:262
|
||
msgid "User ID"
|
||
msgstr "用戶 ID"
|
||
|
||
#: tools/serializers/tool.py:304
|
||
msgid "Unsupported file format"
|
||
msgstr "不支持的文件格式"
|
||
|
||
#: tools/serializers/tool.py:330 tools/serializers/tool.py:349
|
||
#| msgid "Module not found"
|
||
msgid "Folder not found"
|
||
msgstr "文件夾不存在"
|
||
|
||
#: tools/serializers/tool.py:341
|
||
#| msgid "model type"
|
||
msgid "tool type"
|
||
msgstr "工具類型"
|
||
|
||
#: tools/views/tool.py:21 tools/views/tool.py:22
|
||
msgid "Create tool"
|
||
msgstr "創建工具"
|
||
|
||
#: tools/views/tool.py:26 tools/views/tool.py:40 tools/views/tool.py:57
|
||
#: tools/views/tool.py:75 tools/views/tool.py:89 tools/views/tool.py:103
|
||
#: tools/views/tool.py:120 tools/views/tool.py:144 tools/views/tool.py:161
|
||
msgid "Tool"
|
||
msgstr "工具"
|
||
|
||
#: tools/views/tool.py:36 tools/views/tool.py:37
|
||
#| msgid "Get module"
|
||
msgid "Get tool by folder"
|
||
msgstr "通過文件夾獲取工具"
|
||
|
||
#: tools/views/tool.py:53 tools/views/tool.py:54
|
||
msgid "Debug Tool"
|
||
msgstr "調試工具"
|
||
|
||
#: tools/views/tool.py:70 tools/views/tool.py:71
|
||
#| msgid "Update model"
|
||
msgid "Update tool"
|
||
msgstr "更新工具"
|
||
|
||
#: tools/views/tool.py:85 tools/views/tool.py:86
|
||
#| msgid "Create tool"
|
||
msgid "Get tool"
|
||
msgstr "獲取工具"
|
||
|
||
#: tools/views/tool.py:99 tools/views/tool.py:100
|
||
#| msgid "Delete model"
|
||
msgid "Delete tool"
|
||
msgstr "刪除工具"
|
||
|
||
#: tools/views/tool.py:116 tools/views/tool.py:117
|
||
msgid "Get tool list by pagination"
|
||
msgstr "獲取工具列表"
|
||
|
||
#: tools/views/tool.py:139 tools/views/tool.py:140
|
||
#| msgid "Create tool"
|
||
msgid "Import tool"
|
||
msgstr "導入工具"
|
||
|
||
#: tools/views/tool.py:157 tools/views/tool.py:158
|
||
#| msgid "Create tool"
|
||
msgid "Export tool"
|
||
msgstr "導出工具"
|
||
|
||
#: users/api/user.py:90
|
||
#| msgid "Username"
|
||
msgid "Email or Username"
|
||
msgstr "郵箱或用戶名"
|
||
|
||
#: users/api/user.py:106
|
||
#| msgid "workspace id"
|
||
msgid "Workspace ID"
|
||
msgstr "工作空間 ID"
|
||
|
||
#: users/serializers/login.py:27 users/serializers/user.py:40
|
||
#: users/serializers/user.py:87
|
||
msgid "Username"
|
||
msgstr "用戶名"
|
||
|
||
#: users/serializers/login.py:28 users/serializers/user.py:41
|
||
#: users/serializers/user.py:99 users/serializers/user.py:228
|
||
msgid "Password"
|
||
msgstr "密碼"
|
||
|
||
#: users/serializers/login.py:29 users/serializers/login.py:69
|
||
msgid "captcha"
|
||
msgstr "驗證碼"
|
||
|
||
#: users/serializers/login.py:36
|
||
msgid "token"
|
||
msgstr "令牌"
|
||
|
||
#: users/serializers/login.py:50
|
||
msgid "Captcha code error or expiration"
|
||
msgstr "驗證碼錯誤或過期"
|
||
|
||
#: users/serializers/login.py:55
|
||
msgid "The user has been disabled, please contact the administrator!"
|
||
msgstr "用戶已被禁用，請聯繫管理員！"
|
||
|
||
#: users/serializers/user.py:31
|
||
#| msgid "Password"
|
||
msgid "Is Edit Password"
|
||
msgstr "是否編輯密碼"
|
||
|
||
#: users/serializers/user.py:32
|
||
#| msgid "No permission to access"
|
||
msgid "permissions"
|
||
msgstr "無權限訪問"
|
||
|
||
#: users/serializers/user.py:42 users/serializers/user.py:79
|
||
#: users/serializers/user.py:191
|
||
msgid "Email"
|
||
msgstr "郵箱"
|
||
|
||
#: users/serializers/user.py:43 users/serializers/user.py:113
|
||
#| msgid "model name"
|
||
msgid "Nick name"
|
||
msgstr "暱稱"
|
||
|
||
#: users/serializers/user.py:44 users/serializers/user.py:120
|
||
#: users/serializers/user.py:206
|
||
msgid "Phone"
|
||
msgstr "手機"
|
||
|
||
#: users/serializers/user.py:93
|
||
msgid "Username must be 6-20 characters long"
|
||
msgstr "用戶名必須為6-20個字符"
|
||
|
||
#: users/serializers/user.py:106 users/serializers/user.py:235
|
||
msgid ""
|
||
"The password must be 6-20 characters long and must be a combination of "
|
||
"letters, numbers, and special characters."
|
||
msgstr "密碼必須為6-20個字符，且必須包含字母、數字和特殊字符。"
|
||
|
||
#: users/serializers/user.py:142
|
||
msgid "Email or username"
|
||
msgstr "郵箱或用戶名"
|
||
|
||
#: users/serializers/user.py:168
|
||
msgid ""
|
||
"The community version supports up to 2 users. If you need more users, please "
|
||
"contact us (https://fit2cloud.com/)."
|
||
msgstr "社區版支持最多2個用戶，如需更多用戶，請聯繫我們（https://fit2cloud.com/）。"
|
||
|
||
#: users/serializers/user.py:199
|
||
msgid "Name"
|
||
msgstr "用戶名"
|
||
|
||
#: users/serializers/user.py:213
|
||
#, fuzzy
|
||
#| msgid "Is active"
|
||
msgid "Is Active"
|
||
msgstr "是否啟用"
|
||
|
||
#: users/serializers/user.py:223
|
||
#| msgid "Model saving failed"
|
||
msgid "Email is already in use"
|
||
msgstr "郵箱已被使用"
|
||
|
||
#: users/serializers/user.py:242
|
||
#| msgid "Password"
|
||
msgid "Re Password"
|
||
msgstr "確認密碼"
|
||
|
||
#: users/serializers/user.py:247
|
||
msgid ""
|
||
"The confirmation password must be 6-20 characters long and must be a "
|
||
"combination of letters, numbers, and special characters."
|
||
msgstr "確認密碼必須為6-20個字符，且必須包含字母、數字和特殊字符。"
|
||
|
||
#: users/serializers/user.py:270
|
||
#| msgid "Model does not exist"
|
||
msgid "User does not exist"
|
||
msgstr "用戶不存在"
|
||
|
||
#: users/serializers/user.py:285
|
||
#| msgid "Super administrator"
|
||
msgid "Unable to delete administrator"
|
||
msgstr "無法刪除管理員"
|
||
|
||
#: users/serializers/user.py:302
|
||
msgid "Cannot modify administrator status"
|
||
msgstr "不能修改管理員狀態"
|
||
|
||
#: users/views/login.py:21 users/views/login.py:22 users/views/login.py:23
|
||
msgid "Log in"
|
||
msgstr "登錄"
|
||
|
||
#: users/views/login.py:24 users/views/login.py:36 users/views/user.py:31
|
||
#: users/views/user.py:44 users/views/user.py:58 users/views/user.py:73
|
||
#: users/views/user.py:87 users/views/user.py:98 users/views/user.py:109
|
||
#: users/views/user.py:125 users/views/user.py:140
|
||
msgid "User management"
|
||
msgstr "用戶管理"
|
||
|
||
#: users/views/login.py:33 users/views/login.py:34 users/views/login.py:35
|
||
msgid "Get captcha"
|
||
msgstr "獲取驗證碼"
|
||
|
||
#: users/views/user.py:28 users/views/user.py:29 users/views/user.py:30
|
||
#: users/views/user.py:41 users/views/user.py:42
|
||
msgid "Get current user information"
|
||
msgstr "獲取當前用戶信息"
|
||
|
||
#: users/views/user.py:70 users/views/user.py:71 users/views/user.py:72
|
||
#| msgid "create user"
|
||
msgid "Create user"
|
||
msgstr "創建者"
|
||
|
||
#: users/views/user.py:84 users/views/user.py:85 users/views/user.py:86
|
||
#| msgid "Delete model"
|
||
msgid "Delete user"
|
||
msgstr "刪除用戶"
|
||
|
||
#: users/views/user.py:95 users/views/user.py:96 users/views/user.py:97
|
||
#| msgid "Get current user information"
|
||
msgid "Get user information"
|
||
msgstr "獲取用戶信息"
|
||
|
||
#: users/views/user.py:106 users/views/user.py:107 users/views/user.py:108
|
||
#| msgid "Get current user information"
|
||
msgid "Update user information"
|
||
msgstr "更新當前用戶信息"
|
||
|
||
#: users/views/user.py:122 users/views/user.py:123 users/views/user.py:124
|
||
#| msgid "Password"
|
||
msgid "Change password"
|
||
msgstr "修改密碼"
|
||
|
||
#: users/views/user.py:137 users/views/user.py:138 users/views/user.py:139
|
||
msgid "Get user paginated list"
|
||
msgstr "獲取用戶分頁列表"
|