BERT-pytorch
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How to implement model once pretrained for masked input sentences?
I'm relatively new to pytorch and BERT, but I figured out how to pretrain the BERT model on my dataset. I want to use the model to predict the mask(s) in an input sentence. How do use the model to predict that?