code: def test_model_zoo(self) -> None:
      models = cflearn.api.model_zoo(verbose=True)
      for model in models:
          if (
              model.name.startswith("hugging_face")
              and transformers is None
          ):
              continue
          # avoid OOM
          if model.name.startswith("diffusion"):
              continue
          if model.name in ("multimodal/clip.open_clip_ViT_H_14",):
              continue
          # mock
          kwargs: Dict[str, Any] = {}
          _inject_mock(model.requirements, kwargs)
          if model.name.startswith("vae/vanilla"):
              kwargs["model_config"]["latent_resolution"] = 16
          if "clip_vqgan_aligner" in model.name:
              # doesn't need to download pretrained models here
              kwargs["model_config"]["perceptor_pretrained_name"] = None
              kwargs["model_config"]["generator_pretrained_name"] = None
          m = cflearn.api.from_zoo(model.name, **kwargs)
          print(f"> {model.name}, {str(m.build_model.model)[:10]}")
  
file_path: carefree-learn/tests/test_zoo.py
imports: import cflearn
  import unittest
  from typing import Any
  from typing import Dict
label_desc: Use image node_id 1 for calling the TestZoo obj's underlying member method code with example usage: obj.test_model_zoo() without return types