I have a model that works with NER and TextCategorizer.
Can TextCategorizer be trained using both textcat and textcat_multilabel?
I need to evaluate the relevance of a text (textcat) and add tags (textcat_multilabel).
Is it possible to do this using a single model?
Internally, this will train a spaCy pipeline that has two classification components that don't directly influence each other but will be using the same data to make predictions. There's a slight caveat to this; if you're using transformers then they may influence each other, but that's a bit of a detail.
You could say "this is one model, because it's a single pipeline", but I might phrase it as "it's a single pipeline that has multiple trained model components in it".