Natural Language Processing with Transformers, Revised Edition

Language: English

Published by O'Reilly Media, US, 2022

1098136799 / 9781098136796

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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 answeringLearn how transformers can be used for cross-lingual transfer learningApply transformers in real-world scenarios where labeled data is scarceMake transformer models efficient for deployment using techniques such as distillation, pruning, and quantizationTrain transformers from scratch and learn how to scale to multiple GPUs and distributed environments.…

Seller Inventory # LU-9781098136796

Title
Natural Language Processing with Transformers, Revised Edition
Author
Lewis Tunstall, Thomas Wolf, Leandro Von Werra
Publisher
O'Reilly Media, US
Publication year
2022
Condition
New
Binding
Paperback
Language
English
ISBN 10
1098136799
ISBN 13
9781098136796
Item weight
649 grams

Rarewaves USA

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