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MetaCAT BERT update to tutorials 4.1 and 4.2
Updates to Tutorials 4.1 and 4.2: Integration of BERT Implementation
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Tutorial 4.1: No changes were necessary since BERT utilizes its own pre-trained tokenizer. A note has been added advising users to proceed directly to Tutorial 4.2 if using BERT.
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Tutorial 4.2: BERT implementation has been added, showing training on the given dataset. Unlike BiLSTM, which fine-tunes a previously trained model pack, BERT is trained from scratch.