update requirements.txt
This commit is contained in:
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@ -1639,7 +1639,7 @@ description = "Fast transfer of large files with the Hugging Face Hub."
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optional = false
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python-versions = ">=3.8"
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groups = ["main"]
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markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""
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markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""
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files = [
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{file = "hf_xet-1.4.2-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:ac8202ae1e664b2c15cdfc7298cbb25e80301ae596d602ef7870099a126fcad4"},
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{file = "hf_xet-1.4.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:6d2f8ee39fa9fba9af929f8c0d0482f8ee6e209179ad14a909b6ad78ffcb7c81"},
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@ -1760,38 +1760,42 @@ backends = ["redis (>=3.0.0)"]
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[[package]]
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name = "huggingface-hub"
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version = "1.7.1"
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version = "0.36.2"
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description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
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optional = false
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python-versions = ">=3.9.0"
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python-versions = ">=3.8.0"
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groups = ["main"]
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files = [
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{file = "huggingface_hub-1.7.1-py3-none-any.whl", hash = "sha256:38c6cce7419bbde8caac26a45ed22b0cea24152a8961565d70ec21f88752bfaa"},
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{file = "huggingface_hub-1.7.1.tar.gz", hash = "sha256:be38fe66e9b03c027ad755cb9e4b87ff0303c98acf515b5d579690beb0bf3048"},
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{file = "huggingface_hub-0.36.2-py3-none-any.whl", hash = "sha256:48f0c8eac16145dfce371e9d2d7772854a4f591bcb56c9cf548accf531d54270"},
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{file = "huggingface_hub-0.36.2.tar.gz", hash = "sha256:1934304d2fb224f8afa3b87007d58501acfda9215b334eed53072dd5e815ff7a"},
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]
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[package.dependencies]
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filelock = ">=3.10.0"
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filelock = "*"
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fsspec = ">=2023.5.0"
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hf-xet = {version = ">=1.4.2,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""}
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httpx = ">=0.23.0,<1"
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hf-xet = {version = ">=1.1.3,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""}
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packaging = ">=20.9"
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pyyaml = ">=5.1"
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requests = "*"
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tqdm = ">=4.42.1"
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typer = "*"
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typing-extensions = ">=4.1.0"
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typing-extensions = ">=3.7.4.3"
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[package.extras]
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all = ["Jinja2", "Pillow", "authlib (>=1.3.2)", "duckdb", "fastapi", "fastapi", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "numpy", "pytest (>=8.4.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
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dev = ["Jinja2", "Pillow", "authlib (>=1.3.2)", "duckdb", "fastapi", "fastapi", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "numpy", "pytest (>=8.4.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
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all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
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cli = ["InquirerPy (==0.3.4)"]
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dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
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fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
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hf-xet = ["hf-xet (>=1.4.2,<2.0.0)"]
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mcp = ["mcp (>=1.8.0)"]
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hf-transfer = ["hf_transfer (>=0.1.4)"]
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hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"]
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inference = ["aiohttp"]
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mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"]
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oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"]
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quality = ["libcst (>=1.4.0)", "mypy (==1.15.0)", "ruff (>=0.9.0)", "ty"]
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testing = ["Jinja2", "Pillow", "authlib (>=1.3.2)", "duckdb", "fastapi", "fastapi", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.4.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
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quality = ["libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)", "ty"]
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tensorflow = ["graphviz", "pydot", "tensorflow"]
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tensorflow-testing = ["keras (<3.0)", "tensorflow"]
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testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
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torch = ["safetensors[torch]", "torch"]
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typing = ["types-PyYAML", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
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typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
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[[package]]
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name = "hyperframe"
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@ -5270,32 +5274,30 @@ test = ["Cython", "array-api-strict (>=2.3.1)", "asv", "gmpy2", "hypothesis (>=6
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[[package]]
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name = "sentence-transformers"
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version = "5.3.0"
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description = "Embeddings, Retrieval, and Reranking"
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version = "3.4.1"
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description = "State-of-the-Art Text Embeddings"
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optional = false
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python-versions = ">=3.10"
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python-versions = ">=3.9"
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groups = ["main"]
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files = [
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{file = "sentence_transformers-5.3.0-py3-none-any.whl", hash = "sha256:dca6b98db790274a68185d27a65801b58b4caf653a4e556b5f62827509347c7d"},
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{file = "sentence_transformers-5.3.0.tar.gz", hash = "sha256:414a0a881f53a4df0e6cbace75f823bfcb6b94d674c42a384b498959b7c065e2"},
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{file = "sentence_transformers-3.4.1-py3-none-any.whl", hash = "sha256:e026dc6d56801fd83f74ad29a30263f401b4b522165c19386d8bc10dcca805da"},
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{file = "sentence_transformers-3.4.1.tar.gz", hash = "sha256:68daa57504ff548340e54ff117bd86c1d2f784b21e0fb2689cf3272b8937b24b"},
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]
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[package.dependencies]
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huggingface-hub = ">=0.20.0"
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numpy = "*"
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Pillow = "*"
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scikit-learn = "*"
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scipy = "*"
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torch = ">=1.11.0"
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tqdm = "*"
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transformers = ">=4.41.0,<6.0.0"
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typing_extensions = ">=4.5.0"
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transformers = ">=4.41.0,<5.0.0"
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[package.extras]
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dev = ["Pillow", "accelerate (>=0.20.3)", "datasets", "peft", "pre-commit", "pytest", "pytest-cov", "pytest-env"]
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image = ["Pillow"]
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onnx = ["optimum-onnx[onnxruntime]"]
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onnx-gpu = ["optimum-onnx[onnxruntime-gpu]"]
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openvino = ["optimum-intel[openvino]"]
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dev = ["accelerate (>=0.20.3)", "datasets", "peft", "pre-commit", "pytest", "pytest-cov"]
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onnx = ["optimum[onnxruntime] (>=1.23.1)"]
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onnx-gpu = ["optimum[onnxruntime-gpu] (>=1.23.1)"]
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openvino = ["optimum-intel[openvino] (>=1.20.0)"]
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train = ["accelerate (>=0.20.3)", "datasets"]
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[[package]]
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@ -5868,57 +5870,78 @@ telegram = ["requests"]
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[[package]]
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name = "transformers"
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version = "5.3.0"
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description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training."
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version = "4.57.6"
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description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
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optional = false
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python-versions = ">=3.10.0"
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python-versions = ">=3.9.0"
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groups = ["main"]
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files = [
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{file = "transformers-5.3.0-py3-none-any.whl", hash = "sha256:50ac8c89c3c7033444fb3f9f53138096b997ebb70d4b5e50a2e810bf12d3d29a"},
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{file = "transformers-5.3.0.tar.gz", hash = "sha256:009555b364029da9e2946d41f1c5de9f15e6b1df46b189b7293f33a161b9c557"},
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{file = "transformers-4.57.6-py3-none-any.whl", hash = "sha256:4c9e9de11333ddfe5114bc872c9f370509198acf0b87a832a0ab9458e2bd0550"},
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{file = "transformers-4.57.6.tar.gz", hash = "sha256:55e44126ece9dc0a291521b7e5492b572e6ef2766338a610b9ab5afbb70689d3"},
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]
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[package.dependencies]
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huggingface-hub = ">=1.3.0,<2.0"
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filelock = "*"
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huggingface-hub = ">=0.34.0,<1.0"
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numpy = ">=1.17"
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packaging = ">=20.0"
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pyyaml = ">=5.1"
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regex = "!=2019.12.17"
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requests = "*"
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safetensors = ">=0.4.3"
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tokenizers = ">=0.22.0,<=0.23.0"
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tqdm = ">=4.27"
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typer = "*"
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[package.extras]
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accelerate = ["accelerate (>=1.1.0)"]
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all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "av", "blobfile", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels (>=0.10.2,<0.11)", "librosa", "mistral-common[image] (>=1.8.8)", "num2words", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "tiktoken", "timm (>=1.0.23)", "torch (>=2.4)", "torchaudio", "torchvision"]
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audio = ["librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
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accelerate = ["accelerate (>=0.26.0)"]
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all = ["Pillow (>=10.0.1,<=15.0)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "accelerate (>=0.26.0)", "av", "codecarbon (>=2.8.1)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "jinja2 (>=3.1.0)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "kernels (>=0.6.1,<=0.9)", "librosa", "mistral-common[opencv] (>=1.6.3)", "num2words", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm (!=1.0.18,<=1.0.19)", "tokenizers (>=0.22.0,<=0.23.0)", "torch (>=2.2)", "torchaudio", "torchvision"]
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audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
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benchmark = ["optimum-benchmark (>=0.3.0)"]
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chat-template = ["jinja2 (>=3.1.0)", "jmespath (>=1.0.1)"]
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chat-template = ["jinja2 (>=3.1.0)"]
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codecarbon = ["codecarbon (>=2.8.1)"]
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deepspeed = ["accelerate (>=1.1.0)", "deepspeed (>=0.9.3)"]
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deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "optuna", "parameterized (>=0.9)", "protobuf", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "ty (==0.0.12)", "urllib3 (<2.0.0)", "uvicorn"]
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dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels (>=0.10.2,<0.11)", "libcst", "librosa", "mistral-common[image] (>=1.8.8)", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tiktoken", "timeout-decorator", "timm (>=1.0.23)", "torch (>=2.4)", "torch (>=2.4)", "torchaudio", "torchvision", "ty (==0.0.12)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)", "uvicorn"]
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integrations = ["codecarbon (>=2.8.1)", "kernels (>=0.10.2,<0.11)", "optuna", "ray[tune] (>=2.7.0)"]
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deepspeed = ["accelerate (>=0.26.0)", "deepspeed (>=0.9.3)"]
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deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.26.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fastapi", "libcst", "mistral-common[opencv] (>=1.6.3)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "optuna", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pydantic (>=2)", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.13.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.2)", "uvicorn"]
|
||||
dev = ["GitPython (<3.1.19)", "GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "accelerate (>=0.26.0)", "accelerate (>=0.26.0)", "av", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "cookiecutter (==1.7.3)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fastapi", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "jinja2 (>=3.1.0)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "kernels (>=0.6.1,<=0.9)", "libcst", "libcst", "librosa", "mistral-common[opencv] (>=1.6.3)", "mistral-common[opencv] (>=1.6.3)", "nltk (<=3.8.1)", "num2words", "onnxconverter-common", "openai (>=1.98.0)", "optax (>=0.0.8,<=0.1.4)", "optuna", "pandas (<2.3.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pydantic (>=2)", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.13.1)", "ruff (==0.13.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (!=1.0.18,<=1.0.19)", "tokenizers (>=0.22.0,<=0.23.0)", "torch (>=2.2)", "torch (>=2.2)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)", "uvicorn"]
|
||||
dev-tensorflow = ["GitPython (<3.1.19)", "GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "cookiecutter (==1.7.3)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fastapi", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "libcst", "librosa", "mistral-common[opencv] (>=1.6.3)", "nltk (<=3.8.1)", "onnxconverter-common", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "openai (>=1.98.0)", "pandas (<2.3.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pydantic (>=2)", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.13.1)", "ruff (==0.13.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "tf2onnx", "timeout-decorator", "tokenizers (>=0.22.0,<=0.23.0)", "torch (>=2.2)", "urllib3 (<2.0.0)", "uvicorn"]
|
||||
dev-torch = ["GitPython (<3.1.19)", "GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "cookiecutter (==1.7.3)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fastapi", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "kenlm", "kernels (>=0.6.1,<=0.9)", "libcst", "libcst", "librosa", "mistral-common[opencv] (>=1.6.3)", "nltk (<=3.8.1)", "num2words", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "openai (>=1.98.0)", "optuna", "pandas (<2.3.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pydantic (>=2)", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.13.1)", "ruff (==0.13.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (!=1.0.18,<=1.0.19)", "tokenizers (>=0.22.0,<=0.23.0)", "torch (>=2.2)", "torch (>=2.2)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)", "uvicorn"]
|
||||
flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"]
|
||||
flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
ftfy = ["ftfy"]
|
||||
hf-xet = ["hf_xet"]
|
||||
hub-kernels = ["kernels (>=0.6.1,<=0.9)"]
|
||||
integrations = ["kernels (>=0.6.1,<=0.9)", "optuna", "ray[tune] (>=2.7.0)"]
|
||||
ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)"]
|
||||
kernels = ["kernels (>=0.10.2,<0.11)"]
|
||||
mistral-common = ["mistral-common[image] (>=1.8.8)"]
|
||||
mistral-common = ["mistral-common[opencv] (>=1.6.3)"]
|
||||
modelcreation = ["cookiecutter (==1.7.3)"]
|
||||
natten = ["natten (>=0.14.6,<0.15.0)"]
|
||||
num2words = ["num2words"]
|
||||
onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
|
||||
onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
|
||||
open-telemetry = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"]
|
||||
optuna = ["optuna"]
|
||||
quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "ty (==0.0.12)", "urllib3 (<2.0.0)"]
|
||||
quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "pandas (<2.3.0)", "rich", "ruff (==0.13.1)", "urllib3 (<2.0.0)"]
|
||||
ray = ["ray[tune] (>=2.7.0)"]
|
||||
retrieval = ["datasets (>=2.15.0)", "faiss-cpu"]
|
||||
ruff = ["ruff (==0.13.1)"]
|
||||
sagemaker = ["sagemaker (>=2.31.0)"]
|
||||
sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
|
||||
serving = ["accelerate (>=1.1.0)", "fastapi", "openai (>=1.98.0)", "pydantic (>=2)", "rich", "starlette", "torch (>=2.4)", "uvicorn"]
|
||||
serving = ["accelerate (>=0.26.0)", "fastapi", "openai (>=1.98.0)", "pydantic (>=2)", "starlette", "torch (>=2.2)", "uvicorn"]
|
||||
sigopt = ["sigopt"]
|
||||
sklearn = ["scikit-learn"]
|
||||
testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "ty (==0.0.12)", "urllib3 (<2.0.0)", "uvicorn"]
|
||||
speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
|
||||
testing = ["GitPython (<3.1.19)", "accelerate (>=0.26.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fastapi", "libcst", "mistral-common[opencv] (>=1.6.3)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "psutil", "pydantic (>=2)", "pydantic (>=2)", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.13.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.2)", "uvicorn"]
|
||||
tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
|
||||
tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
|
||||
tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
tiktoken = ["blobfile", "tiktoken"]
|
||||
timm = ["timm (>=1.0.23)"]
|
||||
torch = ["accelerate (>=1.1.0)", "torch (>=2.4)"]
|
||||
timm = ["timm (!=1.0.18,<=1.0.19)"]
|
||||
tokenizers = ["tokenizers (>=0.22.0,<=0.23.0)"]
|
||||
torch = ["accelerate (>=0.26.0)", "torch (>=2.2)"]
|
||||
torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
|
||||
torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
|
||||
torchhub = ["filelock", "huggingface-hub (>=0.34.0,<1.0)", "importlib_metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.22.0,<=0.23.0)", "torch (>=2.2)", "tqdm (>=4.27)"]
|
||||
video = ["av"]
|
||||
vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
|
||||
vision = ["Pillow (>=10.0.1,<=15.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "triton"
|
||||
@ -6960,4 +6983,4 @@ cffi = ["cffi (>=1.17,<2.0) ; platform_python_implementation != \"PyPy\" and pyt
|
||||
[metadata]
|
||||
lock-version = "2.1"
|
||||
python-versions = ">=3.12,<3.15"
|
||||
content-hash = "8fefe53c542337a37360b0056ca831119f417ad2bdc61fdf8a89f9803fe2c469"
|
||||
content-hash = "50bb88e7ae6df1bee01b170d6303bd8065ed3e7f899bf6b5e068784e954a40e6"
|
||||
|
||||
@ -14,8 +14,8 @@ dependencies = [
|
||||
"pydantic==2.10.5",
|
||||
"python-dateutil==2.8.2",
|
||||
"torch==2.2.0",
|
||||
"transformers",
|
||||
"sentence-transformers",
|
||||
"transformers>=4.38,<5",
|
||||
"sentence-transformers>=3.0,<4",
|
||||
"numpy<2",
|
||||
"aiohttp",
|
||||
"aiofiles",
|
||||
|
||||
@ -49,13 +49,13 @@ grpcio==1.78.0 ; python_version >= "3.12" and python_version < "3.15"
|
||||
grpclib==0.4.9 ; python_version >= "3.12" and python_version < "3.15"
|
||||
h11==0.16.0 ; python_version >= "3.12" and python_version < "3.15"
|
||||
h2==4.3.0 ; python_version >= "3.12" and python_version < "3.15"
|
||||
hf-xet==1.4.2 ; python_version >= "3.12" and python_version < "3.15" and (platform_machine == "x86_64" or platform_machine == "amd64" or platform_machine == "AMD64" or platform_machine == "arm64" or platform_machine == "aarch64")
|
||||
hf-xet==1.4.2 ; python_version >= "3.12" and python_version < "3.15" and (platform_machine == "x86_64" or platform_machine == "amd64" or platform_machine == "arm64" or platform_machine == "aarch64")
|
||||
hpack==4.1.0 ; python_version >= "3.12" and python_version < "3.15"
|
||||
httpcore==1.0.9 ; python_version >= "3.12" and python_version < "3.15"
|
||||
httpx-sse==0.4.3 ; python_version >= "3.12" and python_version < "3.15"
|
||||
httpx==0.28.1 ; python_version >= "3.12" and python_version < "3.15"
|
||||
huey==2.6.0 ; python_version >= "3.12" and python_version < "3.15"
|
||||
huggingface-hub==1.7.1 ; python_version >= "3.12" and python_version < "3.15"
|
||||
huggingface-hub==0.36.2 ; python_version >= "3.12" and python_version < "3.15"
|
||||
hyperframe==6.1.0 ; python_version >= "3.12" and python_version < "3.15"
|
||||
idna==3.11 ; python_version >= "3.12" and python_version < "3.15"
|
||||
importlib-metadata==8.7.1 ; python_version >= "3.12" and python_version < "3.15"
|
||||
@ -164,7 +164,7 @@ runloop-api-client==1.11.0 ; python_version >= "3.12" and python_version < "3.15
|
||||
safetensors==0.7.0 ; python_version >= "3.12" and python_version < "3.15"
|
||||
scikit-learn==1.8.0 ; python_version >= "3.12" and python_version < "3.15"
|
||||
scipy==1.17.1 ; python_version >= "3.12" and python_version < "3.15"
|
||||
sentence-transformers==5.3.0 ; python_version >= "3.12" and python_version < "3.15"
|
||||
sentence-transformers==3.4.1 ; python_version >= "3.12" and python_version < "3.15"
|
||||
setuptools==82.0.1 ; python_version >= "3.13" and python_version < "3.15"
|
||||
shellingham==1.5.4 ; python_version >= "3.12" and python_version < "3.15"
|
||||
six==1.17.0 ; python_version >= "3.12" and python_version < "3.15"
|
||||
@ -187,7 +187,7 @@ toml==0.10.2 ; python_version >= "3.12" and python_version < "3.15"
|
||||
tomli-w==1.2.0 ; python_version >= "3.12" and python_version < "3.15"
|
||||
torch==2.2.0 ; python_version >= "3.12" and python_version < "3.15"
|
||||
tqdm==4.67.3 ; python_version >= "3.12" and python_version < "3.15"
|
||||
transformers==5.3.0 ; python_version >= "3.12" and python_version < "3.15"
|
||||
transformers==4.57.6 ; python_version >= "3.12" and python_version < "3.15"
|
||||
triton==2.2.0 ; python_version >= "3.12" and python_version < "3.15" and platform_machine == "x86_64" and platform_system == "Linux"
|
||||
typer==0.24.1 ; python_version >= "3.12" and python_version < "3.15"
|
||||
types-certifi==2021.10.8.3 ; python_version >= "3.12" and python_version < "3.15"
|
||||
|
||||
Loading…
Reference in New Issue
Block a user