Natural Language Processing with Transformers: Building Language Applications With Hugging Face - Softcover

Tunstall, Lewis; Werra, Leandro Von; Wolf, Thomas

 
9781098136796: Natural Language Processing with Transformers: Building Language Applications With Hugging Face
Softcover
ISBN 10: 1098136799 ISBN 13: 9781098136796
Verlag: O'Reilly Media, 2022

Inhaltsangabe

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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Über die Autorin bzw. den Autor

Lewis Tunstall is a data scientist at Swisscom, focused on building machine learning powered applications in the domains of natural language processing and time series. A former theoretical physicist, he has over 10 years experience translating complex subject matter to lay audiences and has taught machine learning to university students at both the graduate and undergraduate levels.

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Verlag
O'Reilly Media
Erscheinungsdatum
2022
Sprache
Englisch
ISBN 10 
1098136799
ISBN 13 
9781098136796
Einband
Taschenbuch
Anzahl der Seiten
406
Kontakt zum Hersteller
preigu GmbH & Co. KG
mail@preigu.de

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