Natural Language Processing with Transformers, Revised Edition 1st Edition by Lewis Tunstall (Author), Leandro von Werra (Author), Thomas Wolf (Author)

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by Lewis Tunstall (Author), Leandro von Werra (Author), Thomas Wolf (Author)

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Product details

Publisher ‏ : ‎ O'Reilly Media
Publication date ‏ : ‎ July 5, 2022
Edition ‏ : ‎ 1st
Language ‏ : ‎ English
Print length ‏ : ‎ 406 pages
ISBN-10 ‏ : ‎ 1098136799
ISBN-13 ‏ : ‎ 978-1098136796
Item Weight ‏ : ‎ 7.4 ounces
Dimensions ‏ : ‎ 7 x 1 x 9.25 inches

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 -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.

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
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