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Natural Language Processing with Transformers: Building Language Applications with Hugging Face 1st Edition

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Price in points: 1500 points
9789355421876
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All Indian Reprints of O'Reilly are printed in Grayscale

Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library.

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, among the creators of Hugging Face Transformers, 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

Books

Author 1:
Lewis Tunstall
Author 2:
Leandro von Werra
Author 3:
Thomas Wolf
Binding:
Paperback
Condition Type:
New
Country Origin:
India
Edition:
First
Gift Wrap:
N
Leadtime to ship in days (default):
ships in 1-2 days
Leadtime to ship in days(if not in stock):
ships in 12-15 days
Pages:
408
Publication Date:
04/02/2022
Publisher:
Shroff/O'Reilly
Year:
2022

Dimensions

Dimensions (W x H x D):
7 x 9 x 0.8 inch

Table of Contents (9789355421876_toc.pdf, 179 Kb) [Download]