Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Natural Language Processing with Transformers, Revised Edition: Building Language Applications with Hugging Face

Natural Language Processing with Transformers, Revised Edition: Building Language Applications with Hugging Face

Tunstall, Lewis
Werra, Leandro Von
Wolf, Thomas

Audio Book

General Computers

Currently unavailable to order

ISBN13: 9798228511859
Publisher: Ascent Audio
Published: Jul 15 2025
Language: English
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, Lewis Tunstall, Leandro von Werra, and Thomas Wolf 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

● Train transformers from scratch and learn how to scale to multiple GPUs and distributed environments

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