code: def get_model(
      config: ml_collections.ConfigDict,
  ) -> Union[tf.keras.Model, Callable[..., tf.keras.Model]]:
      if config.model_type == "inception_v3":
          return inceptionv3
      else:
          raise ValueError("Unsupported model type.")
  
imports: import os
  import tempfile
  from typing import Callable, Optional, Tuple, Type, Union
  from absl import logging
  import ml_collections
  import numpy
  import tensorflow
  import tensorflow_addons
  from deepvariant import dv_constants
  from deepvariant import dv_utils
label_desc: Use image node_id 10 for calling a global function with example usage: get_model(config) and returns: inceptionv3