code: def model_from_config(config, custom_objects=None):
      """Instantiates a Keras model from its config.
  
      Usage:
      ```
      # for a Functional API model
      tf.keras.Model().from_config(model.get_config())
  
      # for a Sequential model
      tf.keras.Sequential().from_config(model.get_config())
      ```
  
      Args:
          config: Configuration dictionary.
          custom_objects: Optional dictionary mapping names
              (strings) to custom classes or functions to be
              considered during deserialization.
  
      Returns:
          A Keras model instance (uncompiled).
  
      Raises:
          TypeError: if `config` is not a dictionary.
      """
      if isinstance(config, list):
          raise TypeError(
              "`model_from_config` expects a dictionary, not a list. "
              "Maybe you meant to use "
              "`Sequential.from_config(config)`?"
          )
      from tensorflow.python.keras.layers import (
          deserialize,
      )  # pylint: disable=g-import-not-at-top
  
      return deserialize(config, custom_objects=custom_objects)
  
imports: from tensorflow.python.keras.saving.saved_model import json_utils
label_desc: Use image node_id 1 for calling a global function with example usage: model_from_config(config, custom_objects) and returns: deserialize