human
Solve the following python programming problem given the following code:
# A temporary directory to save our models into.
dir = tempfile.TemporaryDirectory()

# We take our model, and create a wrapper for it.
class SaveableModel(Model):
  @tf.function
  def __call__(self, inputs):
    return super().__call__(inputs)

saveable_model = SaveableModel()

# This saves a concrete function that we care about.
outputs = saveable_model(x_test)

# This saves the model to disk.
tf.saved_model.save(saveable_model, dir.name)

loaded = tf.saved_model.load(dir.name)
outputs_loaded = loaded(x_test)

# Ensure that the loaded model preserves the weights
# of the saved model.
assert tnp.allclose(outputs, outputs_loaded)
Given the above code, generate some markdown instructions for it.
assistant
#Here is the Python code you requested.

Saving the models to disk