code: 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,
      )
  
imports: import json
  import os
  import re
  import shutil
  import sys
  import tempfile
  import traceback
  import warnings
  from pathlib import Path
  from typing import Dict, List, Optional, Tuple, Union
  from urllib.parse import urlparse
  from uuid import uuid4
  import huggingface_hub
  import requests
  from huggingface_hub import CommitOperationAdd, HfFolder, create_commit, create_repo, get_hf_file_metadata, hf_hub_download, hf_hub_url, whoami
  from huggingface_hub.file_download import REGEX_COMMIT_HASH, http_get
  from huggingface_hub.utils import EntryNotFoundError, LocalEntryNotFoundError, RepositoryNotFoundError, RevisionNotFoundError, hf_raise_for_status
  from requests.exceptions import HTTPError
  from transformers.utils.logging import tqdm
  from .None import __version__, logging
  from .generic import working_or_temp_dir
  from .import_utils import ENV_VARS_TRUE_VALUES, _tf_version, _torch_version, is_tf_available, is_torch_available, is_training_run_on_sagemaker
label_desc: Use image node_id 9 for calling a global function with example usage: get_file_from_repo(path_or_repo, filename, cache_dir, force_download, resume_download, proxies, use_auth_token, revision, local_files_only, subfolder) and returns: cached_file