code: def main():
      parser = argparse.ArgumentParser()
  
      parser.add_argument(
          "--location_dir",
          default=None,
          type=str,
          required=True,
          help="The location where pretrained model needs to be stored",
      )
  
      parser.add_argument(
          "--models",
          default=None,
          type=str,
          required=True,
          nargs="*",
          help="download the pretrained models",
      )
  
      args = parser.parse_args()
      print(args)
      Path(args.location_dir).mkdir(exist_ok=True)
  
      #    [download_pretrained_files(k, location=Path(args.location_dir))
      #     for k, v in BERT_PRETRAINED_MODEL_ARCHIVE_MAP.items()]
      [
          download_pretrained_files(
              item, location=Path(args.location_dir)
          )
          for item in args.models
      ]
  
imports: import argparse
  from pathlib import Path
  from tqdm import tqdm
  import requests
  import urllib3
  from transformers import AutoModel, AutoTokenizer
label_desc: Use image node_id 2 for calling a global function with example usage: main() without return types