repo_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. 
repo_topics: audio deep-learning deepseek gemma glm hacktoberfest llm machine-learning model-hub natural-language-processing nlp pretrained-models python pytorch pytorch-transformers qwen speech-recognition transformer vlm
code: # THIS FILE HAS BEEN AUTOGENERATED. To update:
  # 1. modify the `_deps` dict in setup.py
  # 2. run `make fix-repo``
  deps = {
      "Pillow": "Pillow>=10.0.1,<=15.0",
      "accelerate": "accelerate>=1.1.0",
      "av": "av",
      "beautifulsoup4": "beautifulsoup4",
      "blobfile": "blobfile",
      "codecarbon": "codecarbon>=2.8.1",
      "datasets": "datasets>=2.15.0",
      "deepspeed": "deepspeed>=0.9.3",
      "dill": "dill<0.3.5",
      "evaluate": "evaluate>=0.4.6",
      "faiss-cpu": "faiss-cpu",
      "fastapi": "fastapi",
      "filelock": "filelock",
      "fugashi": "fugashi>=1.0",
      "GitPython": "GitPython<3.1.19",
      "hf-doc-builder": "hf-doc-builder",
      "huggingface-hub": "huggingface-hub>=1.5.0,<2.0",
      "ipadic": "ipadic>=1.0.0,<2.0",
      "jinja2": "jinja2>=3.1.0",
      "jmespath": "jmespath>=1.0.1",
      "kenlm": "kenlm",
      "kernels": "kernels>=0.12.0,<0.13",
      "librosa": "librosa",
      "mistral-common[image]": "mistral-common[image]>=1.10.0",
      "nltk": "nltk<=3.8.1",
      "num2words": "num2words",
      "numpy": "numpy>=1.17",
      "openai": "openai>=1.98.0",
      "opencv-python": "opencv-python",
      "optimum-benchmark": "optimum-benchmark>=0.3.0",
      "optuna": "optuna",
      "pandas": "pandas<2.3.0",
      "packaging": "packaging>=20.0",
      "parameterized": "parameterized>=0.9",
      "peft": "peft>=0.18.0",
      "phonemizer": "phonemizer",
      "protobuf": "protobuf",
      "psutil": "psutil",
      "pyyaml": "pyyaml>=5.1",
      "pydantic": "pydantic>=2",
      "pytest": "pytest>=7.2.0,<9.0.0",
      "pytest-asyncio": "pytest-asyncio>=1.2.0",
      "pytest-random-order": "pytest-random-order",
      "pytest-rerunfailures": "pytest-rerunfailures<16.0",
      "pytest-timeout": "pytest-timeout",
      "pytest-env": "pytest-env",
      "pytest-xdist": "pytest-xdist",
      "pytest-order": "pytest-order",
      "python": "python>=3.10.0",
      "regex": "regex>=2025.10.22",
      "rhoknp": "rhoknp>=1.1.0,<1.3.1",
      "rjieba": "rjieba",
      "rouge-score": "rouge-score!=0.0.7,!=0.0.8,!=0.1,!=0.1.1",
      "ruff": "ruff==0.14.10",
      "ty": "ty==0.0.20",
      "sacrebleu": "sacrebleu>=1.4.12,<2.0.0",
      "sacremoses": "sacremoses",
      "safetensors": "safetensors>=0.4.3",
      "sagemaker": "sagemaker>=2.31.0",
      "schedulefree": "schedulefree>=1.2.6",
      "scikit-learn": "scikit-learn",
      "scipy": "scipy",
      "sentencepiece": "sentencepiece>=0.1.91,!=0.1.92",
      "starlette": "starlette",
      "sudachipy": "sudachipy>=0.6.6",
      "sudachidict_core": "sudachidict_core>=20220729",
      "tensorboard": "tensorboard",
      "timeout-decorator": "timeout-decorator",
      "tomli": "tomli",
      "tiktoken": "tiktoken",
      "timm": "timm>=1.0.23",
      "tokenizers": "tokenizers>=0.22.0,<=0.23.0",
      "torch": "torch>=2.4",
      "torchaudio": "torchaudio",
      "torchvision": "torchvision",
      "pyctcdecode": "pyctcdecode>=0.4.0",
      "tqdm": "tqdm>=4.27",
      "typer": "typer",
      "unidic": "unidic>=1.0.2",
      "unidic_lite": "unidic_lite>=1.0.7",
      "urllib3": "urllib3<2.0.0",
      "uvicorn": "uvicorn",
      "pytest-rich": "pytest-rich",
      "libcst": "libcst",
      "rich": "rich",
      "ray[tune]": "ray[tune]>=2.7.0",
      "opentelemetry-api": "opentelemetry-api",
      "opentelemetry-exporter-otlp": "opentelemetry-exporter-otlp",
      "opentelemetry-sdk": "opentelemetry-sdk",
  }
  