Mateo Diaz
Mateo Diaz
@Lunatik00 This is a bug within the keras application efficientnet code. There's a (not ideal) but workable fix that you can make [here](https://github.com/keras-team/tf-keras/issues/383). It should let you save your model.
Hey guys, any update on this ?
@edumotya Thanks for the help. The workaround worked for me.