code: def download_url(url, proxies=None):
      """
      Downloads a given url in a temporary file. This function is not safe to use in multiple processes. Its only use is
      for deprecated behavior allowing to download config/models with a single url instead of using the Hub.
  
      Args:
          url (`str`): The url of the file to download.
          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.
  
      Returns:
          `str`: The location of the temporary file where the url was downloaded.
      """
      warnings.warn(
          f"Using `from_pretrained` with the url of a file (here {url}) is deprecated and won't be possible anymore in"
          " v5 of Transformers. You should host your file on the Hub (hf.co) instead and use the repository ID. Note"
          " that this is not compatible with the caching system (your file will be downloaded at each execution) or"
          " multiple processes (each process will download the file in a different temporary file)."
      )
      tmp_file = tempfile.mktemp()
      with open(tmp_file, "wb") as f:
          http_get(url, f, proxies=proxies)
      return tmp_file
  
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 10 for calling a global function with example usage: download_url(url, proxies) and returns: tmp_file