Same question asked here:
The question was closed without an answer, so I will reopen it. I had a model that I got around 90% accuracy, but was unable to submit it when I was taking the exam and didn’t pass because I wasn’t able to submit my working model and failed the entire exam when I passed the rest of it.
"When I try to do model.save(‘filename.h5’) for a model with text vectorizer & embedding involved, I get below error msg:
Save or restore weights that is not an instance of
tf.Variable is not supported in h5, use
save_format='tf' instead. Received a model or layer TextVectorization with weights
However, given that in the TF cert exam we need to upload .h5 models (i.e., tf format might not help), how do we handle this situation?"*