Skip to content
Book 015 · Technology

Natural Language Processing with Transformers

by Lewis Tunstall, Leandro von Werra & Thomas Wolf

Affiliate link

Find on Bookshop.org

The short version

Building language applications with Hugging Face, covering modern NLP architecture from the creators of the Transformers library.

Category
Technology
Recommendation
Recommended

Where it helps

Problems this book can help with.

  1. 01 Understanding modern NLP architecture
  2. 02 Implementing transformers for real applications
  3. 03 Fine-tuning models for specific use cases
  4. 04 Deploying NLP models in production
  5. 05 Keeping up with rapid advances in the field

Main ideas

What I took from it.

  1. 01 How transformer architecture works under the hood
  2. 02 Text classification, NER, and question answering
  3. 03 Fine-tuning pre-trained models for custom tasks
  4. 04 Building and training models with Hugging Face
  5. 05 Production deployment considerations

My review

Why I recommend it.

Written by the creators of the Hugging Face Transformers library, this book covers modern NLP in accessible depth. Hands-on examples make complex concepts approachable.

I recommend it when a product team wants enough technical depth to discuss NLP systems with engineers and understand the work behind a demo.