How to use the tcav.model.GoolgeNetWrapper_public function in tcav

model_path: Path to models saved graph.
    randomize: Start with random weights
    labels_path: Path to models line separated class names text file.

  Returns:
    a model instance.

  Raises:
    ValueError: If model name is not valid.
  """
  if model_to_run == 'InceptionV3':
    mymodel = model.InceptionV3Wrapper_public(
        sess, model_saved_path=model_path, labels_path=labels_path)
  elif model_to_run == 'GoogleNet':
    # common_typos_disable
    mymodel = model.GoolgeNetWrapper_public(
        sess, model_saved_path=model_path, labels_path=labels_path)
  else:
    raise ValueError('Invalid model name')
  if randomize:  # randomize the network!
    sess.run(tf.global_variables_initializer())
  return mymodel