Learn How to Use Transformers with HuggingFace and SpaCy

Demonstrates how to integrate transformer models from HuggingFace with spaCy for text classification tasks. Covers the evolution from word vectors to transformers, explains BERT and RoBERTa architectures, and provides a complete walkthrough of fine-tuning RoBERTa on the TREC dataset using spaCy's TextCategorizer component. Includes dataset preparation, configuration setup, training process, and inference examples for building production-ready NLP pipelines.