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Can I read Natural Language Processing with Transformers on EtoBox?

Natural Language Processing with Transformers by Lewis Tunstall, Leandro von Werra & Thomas Wolf is a nonfiction available to read on EtoBox.

What is Natural Language Processing with Transformers about?

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

Who reads Natural Language Processing with Transformers?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Lewis Tunstall, Leandro von Werra & Thomas Wolf
Published
2022
Language
EN
Category
nonfiction
Subjects
Computer Science, Stem

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