Is there a way to save gpflow2 models and restore in a different session?

Question

In gpflow1 I was able to do:

saver = gpflow.saver.Saver()
saver.save(filename, model)

and then restore the model with

with tf.Graph().as_default() as graph, tf.Session().as_default():
    model_copy = saver.load(filename)

I saw that there is a way to checkpoint models in gpflow2, but it is not clear to me how I would restore a checkpoint in another session.

Any input would be appreciated.