Thank you for sharing the code for your work. I have been able to run the code and train the models for all the three cases. When I try to run predictor.py, it works fine for BERT and (BERT + Transformer) models. However, when using predictor.py for a (BERT + Transformer + CRF) model, since we don't have true labels for test data, the below code gives error:
Hi,
Thank you for sharing the code for your work. I have been able to run the code and train the models for all the three cases. When I try to run predictor.py, it works fine for BERT and (BERT + Transformer) models. However, when using predictor.py for a (BERT + Transformer + CRF) model, since we don't have true labels for test data, the below code gives error:
I understand why it gives an error, but was not sure how or what to modify in order for it to work.
Any suggestion will be really helpful.
Thank you!