code: def download_data_if_required(base_model):
      """Pulls the pre-trained model weights from Github if required."""
  
      for file_obj in base_model.required_files:
          path = Path(file_obj["file"])
          if not path.exists():
              path.parent.mkdir(parents=True, exist_ok=True)
              print("Downloading: {}".format(path.name))
              tqdl.download(file_obj["url"], str(path))
  
      base_model.translate_base_model_format()
  
imports: import os
  import urllib
  import urllib.request
  from pathlib import Path
  import tqdl
  import finetune
label_desc: Use image node_id 1 for calling a global function with example usage: download_data_if_required(base_model) without return types