code: def get_model():
      # Create a simple model.
      inputs = keras.Input(shape=(32,))
      outputs = keras.layers.Dense(1)(inputs)
      model = keras.Model(inputs, outputs)
      model.compile(
          optimizer=keras.optimizers.Adam(), loss="mean_squared_error"
      )
      return model
  
label_desc: Use image node_id 1 for calling a global function with example usage: get_model() and returns: model