Natural Language Processing with Transformers, Revised Edition

Transformers have become the dominant architecture for achieving state-of-the-art results on natural language processing tasks, and this practical book shows data scientists and coders how to train and scale them using Hugging Face Transformers.

Format: Paperback / softback
Length: 406 pages
Publication date: 17 June 2022
Publisher: O'Reilly Media

Since their introduction in 2017, transformers have rapidly emerged as the dominant architecture for achieving state-of-the-art results in various natural language processing tasks. This practical book, now revised in full color, is designed for data scientists and coders who want to train and scale large models using Hugging Face Transformers, a Python-based deep learning library.

Transformers have been employed to generate realistic news stories, enhance Google Search queries, and even create chatbots capable of delivering corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf, among the creators of Hugging Face Transformers, adopt a hands-on approach to teach readers how transformers work and how to integrate them into their applications. You will quickly grasp a range of tasks that transformers can assist you with.

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.

By leveraging the power of transformers, you can unlock new possibilities in natural language processing and take your applications to the next level. Whether you are a beginner or an experienced practitioner, this guide will provide you with the knowledge and skills you need to succeed in this exciting field.

Weight: 708g
Dimension: 177 x 233 x 26 (mm)
ISBN-13: 9781098136796