ROBERTA - UMA VISãO GERAL

If you choose this second option, there are three possibilities you can use to gather all the input TensorsThe original BERT uses a subword-level tokenization with the vocabulary size of 30K which is learned after input preprocessing and using several heuristics. RoBERTa uses bytes instead of unicode characters as the base for subwords and expands