def METHOD_NAME(initial_weights=None):
  inputs = keras.layers.Input(shape=(1,), dtype='int32')
  embeddings = keras.layers.Embedding(100, 5)(inputs)
  outputs = keras.layers.Dense(1, activation='softmax')(embeddings)
  model = keras.Model(inputs, outputs)
  if initial_weights:
    model.set_weights(initial_weights)
  model.compile('rmsprop', 'mae', metrics=['binary_crossentropy'])
  return model, EMBED_INPUTS, EMBED_TARGETS