code: def get_model():
      model = tf.keras.Sequential()
      model.add(
          tf.keras.layers.Conv2D(
              3, 3, activation="relu", input_shape=(28, 28, 1)
          )
      )
      model.add(tf.keras.layers.Flatten())
      model.add(tf.keras.layers.Dense(10, activation="softmax"))
      return model
  
file_path: wandb/tests/functional_tests/t0_main/keras/test_keras_eval_tables_builder.py
imports: import numpy
  import tensorflow
  import wandb
  from wandb.keras import WandbEvalCallback
label_desc: Use image node_id 1 for calling a global function with example usage: get_model() and returns: model