otocol or endpoint, e.g., `{'http': 'foo.bar:3128', 'http://hostname': 'foo.bar:4012'}.` The proxies are used on each request. 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. Passing `token=True` is required when you want to use a private model. 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") ```r–