TextVectorizer and .h5 format

[sodeso-nl]

In the Tensorflow Developer Exam we will need to save the models in .h5 format, how do we do that for NLP models were we are using the TextVectorizer? Since this layer does not support saving? Will this become clear when doing the exam or is there some trick that is not mentioned in the course?

Or do we need to use a different construction? I mean, we can use the TextVectorizer ouside the model to pre-process all the training data and validation data. But how would that work when submitting the model? Google is probably testing the model with their own sentences, how do they know how to vectorize them to the same numbers.