Build a Transformer for Language Classification in TensorFlow

Learn how to build a transformer model for sentiment analysis using HuggingFace's Transformers library in TensorFlow 2 with Python. Follow the complete process from data acquisition to model construction and training in this comprehensive 38-minute tutorial. Explore multi-class classification techniques combining TensorFlow and Transformers to create a multiclass sentiment classifier. Gain insights into leveraging cutting-edge transformer models like BERT for natural language processing tasks. Discover how to initialize and utilize pre-trained models, prepare data through tokenization, and implement train-validation splits. Master the art of defining and training your own transformer-based classification model, opening up new possibilities in language optimization across various industries.

How-to Build a Transformer for Language Classification in TensorFlow