Training a Tokenizer for BERT Models - MachineLearningMastery.com
BERT is an early transformer-based model for NLP tasks that’s small and fast enough to train on a home computer. Like all deep learning models, it requires a tokenizer to convert text into in...

Source: MachineLearningMastery.com
BERT is an early transformer-based model for NLP tasks that’s small and fast enough to train on a home computer. Like all deep learning models, it requires a tokenizer to convert text into integer tokens. This article explains how to train a WordPiece tokenizer according to BERT’s original design. Let’s get started. Overview This article […]