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: # Copyright 2020 The HuggingFace Team. All rights reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  """
  File utilities: utilities related to download and cache models
  
  This module should not be update anymore and is only left for backward compatibility.
  """
  
  from . import __version__
  
  # Backward compatibility imports, to make sure all those objects can be found in file_utils
  from .utils import (
      CLOUDFRONT_DISTRIB_PREFIX,
      CONFIG_NAME,
      DUMMY_INPUTS,
      DUMMY_MASK,
      ENV_VARS_TRUE_AND_AUTO_VALUES,
      ENV_VARS_TRUE_VALUES,
      FEATURE_EXTRACTOR_NAME,
      HF_MODULES_CACHE,
      MODEL_CARD_NAME,
      MULTIPLE_CHOICE_DUMMY_INPUTS,
      S3_BUCKET_PREFIX,
      SENTENCEPIECE_UNDERLINE,
      SPIECE_UNDERLINE,
      TRANSFORMERS_DYNAMIC_MODULE_NAME,
      WEIGHTS_INDEX_NAME,
      WEIGHTS_NAME,
      ContextManagers,
      DummyObject,
      EntryNotFoundError,
      ExplicitEnum,
      ModelOutput,
      PaddingStrategy,
      PushToHubMixin,
      RepositoryNotFoundError,
      RevisionNotFoundError,
      TensorType,
      _LazyModule,
      add_code_sample_docstrings,
      add_end_docstrings,
      add_start_docstrings,
      add_start_docstrings_to_model_forward,
      copy_func,
      define_sagemaker_information,
      get_torch_version,
      has_file,
      http_user_agent,
      is_apex_available,
      is_bs4_available,
      is_coloredlogs_available,
      is_datasets_available,
      is_detectron2_available,
      is_faiss_available,
      is_g2p_en_available,
      is_in_notebook,
      is_librosa_available,
      is_onnx_available,
      is_pandas_available,
      is_phonemizer_available,
      is_protobuf_available,
      is_psutil_available,
      is_py3nvml_available,
      is_pyctcdecode_available,
      is_pytesseract_available,
      is_pytorch_quantization_available,
      is_rjieba_available,
      is_sagemaker_dp_enabled,
      is_sagemaker_mp_enabled,
      is_scipy_available,
      is_sentencepiece_available,
      is_seqio_available,
      is_sklearn_available,
      is_soundfile_available,
      is_spacy_available,
      is_speech_available,
      is_tensor,
      is_timm_available,
      is_tokenizers_available,
      is_torch_available,
      is_torch_cuda_available,
      is_torch_fx_proxy,
      is_torch_mps_available,
      is_torch_tf32_available,
      is_torch_xla_available,
      is_torchaudio_available,
      is_training_run_on_sagemaker,
      is_vision_available,
      replace_return_docstrings,
      requires_backends,
      to_numpy,
      to_py_obj,
      torch_only_method,
  )
  