Pytorch implementation of LSTM/BERT-CRF for named entity recognition
Pytorch implementation of LSTM/BERT-CRF for named entity recognition
ImportError: cannot import name 'context_models' from 'src.config' when running transformers_predictor.py
Summary of training/finetuning/prediction commands
Is there a way to output not only crf 1 best, but 5 best predictions?