I have just finetuned RoBERTa for a classification problem, trained and stored the model. I have used native Tensorflow throughout, but I can’t find any examples anywhere related to finally predicting in TF. The only ones I found were all for PyTorch.
Can someone please guide me to some snippet of code for prediction? The official example has no such code…
EDIT:- I tried using
model.predict() method that is used normally and even the PyTorch one which reports missing config. I am really confused as to how we are supposed to serve predictions. IMO the docs need updating