src/transformers/utils/hub.py/get_file_from_repo
def get_file_from_repo(
    path_or_repo: Union[str, os.PathLike],
    filename: str,
    cache_dir: Optional[Union[str, os.PathLike]] = None,
    force_download: bool = False,
    resume_download: bool = False,
    proxies: Optional[Dict[str, str]] = None,
    use_auth_token: Optional[Union[bool, str]] = None,
    revision: Optional[str] = None,
    local_files_only: bool = False,
    subfolder: str = "",
):
    """
    Tries to locate a file in a local folder and repo, downloads and cache it if necessary.

    Args:
        path_or_repo (`str` or `os.PathLike`):
            This can be either:

            - a string, the *model id* of a model repo on huggingface.co.
            - a path to a *directory* potentially containing the file.
        filename (`str`):
            The name of the file to locate in `path_or_repo`.
        cache_dir (`str` or `os.PathLike`, *optional*):
            Path to a directory in which a downloaded pretrained model configuration should be cached if the standard
            cache should not be used.
        force_download (`bool`, *optional*, defaults to `False`):
            Whether or not to force to (re-)download the configuration files and override the cached versions if they
            exist.
        resume_download (`bool`, *optional*, defaults to `False`):
            Whether or not to delete incompletely received file. Attempts to resume the download if such a file exists.
        proxies (`Dict[str, str]`, *optional*):
            A dictionary of proxy servers to use by protocol or endpoint, e.g., `{'http': 'foo.bar:3128',
            'http://hostname': 'foo.bar:4012'}.` The proxies are used on each request.
        use_auth_token (`str` or *bool*, *optional*):
            The token to use as HTTP bearer authorization for remote files. If `True`, will use the token generated
            when running `huggingface-cli login` (stored in `~/.huggingface`).
        revision (`str`, *optional*, defaults to `"main"`):
            The specific model version to use. It can be a branch name, a tag name, or a commit id, since we use a
            git-based system for storing models and other artifacts on huggingface.co, so `revision` can be any
            identifier allowed by git.
        local_files_only (`bool`, *optional*, defaults to `False`):
            If `True`, will only try to load the tokenizer configuration from local files.
        subfolder (`str`, *optional*, defaults to `""`):
            In case the relevant files are located inside a subfolder of the model repo on huggingface.co, you can
            specify the folder name here.

    <Tip>

    Passing `use_auth_token=True` is required when you want to use a private model.

    </Tip>

    Returns:
        `Optional[str]`: Returns the resolved file (to the cache folder if downloaded from a repo) or `None` if the
        file does not exist.

    Examples:

    ```python
    # Download a tokenizer configuration from huggingface.co and cache.
    tokenizer_config = get_file_from_repo("bert-base-uncased", "tokenizer_config.json")
    # This model does not have a tokenizer config so the result will be None.
    tokenizer_config = get_file_from_repo("xlm-roberta-base", "tokenizer_config.json")
    ```"""
    return cached_file(
        path_or_repo_id=path_or_repo,
        filename=filename,
        cache_dir=cache_dir,
        force_download=force_download,
        resume_download=resume_download,
        proxies=proxies,
        use_auth_token=use_auth_token,
        revision=revision,
        local_files_only=local_files_only,
        subfolder=subfolder,
        _raise_exceptions_for_missing_entries=False,
        _raise_exceptions_for_connection_errors=False,
    )