code: def test_from_model(self):
      for model in [
          self._get_classy_model(),
          self._get_non_classy_model(),
      ]:
          hub_interface = ClassyHubInterface.from_model(model)
  
          self.assertIsNone(hub_interface.task)
          self.assertIsInstance(hub_interface.model, ClassyModel)
  
          # this will pick up the transform from imagenet
          self._test_predict_and_extract_features(hub_interface)
  
imports: import shutil
  import tempfile
  import unittest
  import torch
  from classy_vision.dataset.transforms import ClassyTransform
  from classy_vision.hub import ClassyHubInterface
  from classy_vision.models import build_model, ClassyModel
  from classy_vision.tasks import build_task, ClassyTask
  from test.generic.config_utils import get_test_task_config
  from torchvision import models, transforms
label_desc: Use image node_id 7 for calling the TestClassyHubInterface obj's underlying member method code with example usage: obj.test_from_model() without return types