code: def test_load_pretrained_hf_model_from_hub(
      model: Type, name: str, tmpdir: os.PathLike
  ):
      """Ensure that the HF models used in ludwig download correctly."""
      cache_dir = os.path.join(
          tmpdir,
          name.replace(os.path.sep, "_")
          if name
          else str(model.__name__),
      )
      os.makedirs(cache_dir, exist_ok=True)
      loaded_model = load_pretrained_hf_model_from_hub(
          model, name, cache_dir=cache_dir, force_download=True
      )
      assert isinstance(loaded_model, model)
      assert os.listdir(cache_dir)
  
file_path: ludwig/tests/ludwig/utils/test_hf_utils.py
imports: import os
  import shutil
  from typing import Type
  import pytest
  from transformers import AlbertModel, BertModel, BertTokenizer
  from ludwig.encoders.text_encoders import ALBERTEncoder, BERTEncoder
  from ludwig.utils.hf_utils import load_pretrained_hf_model_from_hub, load_pretrained_hf_model_with_hub_fallback, upload_folder_to_hfhub
label_desc: Use image node_id 1 for calling a global function with example usage: test_load_pretrained_hf_model_from_hub(model, name, tmpdir) without return types