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I was hoping to compare performance of Transformer models and non-Transformer models. I'm essentially trying to reproduce BERT which is possible according to the PyTorch documentation. Or am I better off just adding the model class to the neural_nets.py library?
The text was updated successfully, but these errors were encountered:
Hi, sorry for the late reply, we are very very busy with SpeechBrain and PyTorch-Kaldi won't be maintained anymore very soon. You can easily wrap the pytorch transformers to a model in neural_nets.py.
I was hoping to compare performance of Transformer models and non-Transformer models. I'm essentially trying to reproduce BERT which is possible according to the PyTorch documentation. Or am I better off just adding the model class to the neural_nets.py library?
The text was updated successfully, but these errors were encountered: