A framework for generating subword vocabulary from a tensorflow dataset and building custom BERT tokenizer models.
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Updated
Jul 6, 2021 - Python
A framework for generating subword vocabulary from a tensorflow dataset and building custom BERT tokenizer models.
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This project leverages BERT for Named Entity Recognition (NER) on a medical dataset. The notebook provides a step-by-step guide, from dataset preparation to fine-tuning and saving the trained model for medical NER tasks.
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