Tunstall, Lewis
Natural Language Processing with Transformers, Revised Edition
- ISBN 13:
- 9781098136796
- author:
- Tunstall, Lewis
- format:
- Paperback
- publisher:
- O'Reilly Media
- language:
- English
- Publication Year:
- 2022
- Pages:
- 406
- Dimensions:
- 23.3 x 17.8 x 2.1 centimetres (0
- Genre:
- Computers, Computer Science, Natural Language Processing,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Transformers have become the dominant architecture for achieving state-of-the-art results in natural language processing tasks. This practical book, now revised in full color, shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library. You'll learn how to build, debug, and optimize transformer models for core NLP tasks, such as text classification, named entity recognition, and question answering. The book also covers cross-lingual transfer learning and applying transformers in real-world scenarios where labeled data is scarce. By the end of this guide, you'll be able to train transformers from scratch, scale to multiple GPUs and distributed environments, and make your models efficient for deployment using techniques such as distillation, pruning, and quantization.
Related Products
Related Products
Gestalt Language Processing: Supporting Autistic and Neurodivergent Children with Natural Language Acquisition
Battye, Alison
Creative Nature & Outdoor Photography, Revised Edition
Tharp, Brenda
Revision Express AS and A2 English Language
Gardiner, Alan
Mastering Large Language Models with Python: Unleash the Power of Advanced Natural Language Processing for Enterprise Innovation and Efficiency Using Large Language Models (LLMs) with Python
R, Raj Arun
Oxford Revise: Edexcel GCSE English Language Complete Revision and Practice
Eddy, Steve