E-Books →Natural Language Processing with Transformers (Third Early Release)

Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf use a hands-on approach to teach you how Transformers work and how to integrate them in your applications. You'll quickly learn a variety of tasks they can help you solve.
Build, debug, and optimize Transformer models for core NLP tasks, such as text classification, named entity recognition, and question answering
Learn how Transformers can be used for cross-lingual transfer learning
Apply Transformers in real-world scenarios where labeled data is scarce
Make Transformer models efficient for deployment using techniques such as distillation, pruning, and quantization
Train Transformers from scratch and learn how to scale to multiple GPUs and distributed environments