Natural Language Processing with Transformers, Revised Edition
Natural Language Processing with Transformers, Revised Edition
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Natural Language Processing with Transformers, Revised Edition
Natural Language Processing with Transformers, Revised Edition
Transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks.
Natural Language Processing with Transformers, Revised Edition
товар №: 180596702

Natural Language Processing with Transformers, Revised Edition

товар №: 180596702

KZT 53520

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Transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks.
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Shop Natural Language Processing with Transformers, Revised Edition online at a best price in Kazakhstan. 1098136799
  • 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. Daha fazla göster
YayıncıO'Reilly Media
Yayınlanma Tarihi17 Haziran 2022
BaskıRevised
Dilİngilizce
Baskı Uzunluğu406 sayfa
ISBN-101098136799
ISBN-13978-1098136796
Boyutlar17.78 x 2.54 x 23.5 cm

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Natural Language Processing with Transformers, Revised Edition

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Вопросы и ответы клиентов

  • вопрос: What makes transformers the dominant architecture for NLP tasks?

    отвечать: Transformers consistently achieve state-of-the-art results in natural language processing tasks.
  • вопрос: What is the benefit of using Hugging Face Transformers?

    отвечать: Hugging Face Transformers is a Python-based deep learning library that enables training and scaling of transformer models.
  • вопрос: Can transformers be used with limited labeled data?

    отвечать: Yes, this book teaches how to apply transformers in real-world scenarios with limited labeled data.

İngilizce Baskı Leandro Von Werra , Lewis Tunstall Editorial Review

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Особенности и преимущества

  • Train and scale transformer models using Hugging Face Transformers
  • Build, debug, and optimize transformer models for core NLP tasks
  • Apply transformers in real-world scenarios with limited labeled data
  • Make transformer models efficient for deployment
  • Train transformers from scratch and scale to multiple GPUs
  • Authors are among the creators of Hugging Face Transformers

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