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Añadir al carritoPaperback. Condición: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.5.
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Añadir al carritoCondición: Good. Get fast and secure shipping knowing your purchase helps empower our community to transform their lives through work.
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
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Añadir al carritoPaperback. Condición: New. 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.
Publicado por O'Reilly Media 7/5/2022, 2022
ISBN 10: 1098136799 ISBN 13: 9781098136796
Idioma: Inglés
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 43,22
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Añadir al carritoPaperback or Softback. Condición: New. Natural Language Processing with Transformers, Revised Edition 1.43. Book.
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
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Añadir al carritoPaperback. Condición: New. 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.
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Librería: Rarewaves.com UK, London, Reino Unido
EUR 59,97
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Añadir al carritoPaperback. Condición: New. 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.
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Añadir al carritoCondición: As New. Unread book in perfect condition.
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Librería: Rarewaves.com USA, London, LONDO, Reino Unido
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Añadir al carritoPaperback. Condición: New. 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.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Añadir al carritoCondición: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Añadir al carritoCondición: New. Über den AutorLewis 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 ye.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Añadir al carritoCondición: New. 2022. Revised. Paperback. . . . . .
Publicado por O'Reilly Media
Librería: Academic Book Solutions, Medford, NY, Estados Unidos de America
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Añadir al carritopaperback. Condición: VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.
Publicado por Oreilly & Associates Inc, 2022
ISBN 10: 1098136799 ISBN 13: 9781098136796
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 66,67
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Añadir al carritoPaperback. Condición: Brand New. revised edition. 406 pages. 9.19x7.00x0.84 inches. In Stock.
Publicado por O'reilly Media Jul 2022, 2022
ISBN 10: 1098136799 ISBN 13: 9781098136796
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 66,79
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - 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.
Publicado por O'reilly Media Jul 2022, 2022
ISBN 10: 1098136799 ISBN 13: 9781098136796
Idioma: Inglés
Librería: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Alemania
EUR 66,00
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -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. 383 pp. Englisch.
Publicado por O'reilly Media Jul 2022, 2022
ISBN 10: 1098136799 ISBN 13: 9781098136796
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 66,00
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -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. 383 pp. Englisch.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 70,55
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Publicado por O'reilly Media Jul 2022, 2022
ISBN 10: 1098136799 ISBN 13: 9781098136796
Idioma: Inglés
Librería: Wegmann1855, Zwiesel, Alemania
EUR 66,00
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -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.
Publicado por O'reilly Media Jul 2022, 2022
ISBN 10: 1098136799 ISBN 13: 9781098136796
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 66,00
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -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.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 383 pp. Englisch.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 77,94
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Añadir al carritoCondición: New. 1st edition NO-PA16APR2015-KAP.
Publicado por O'Reilly Media (edition 1), 2022
ISBN 10: 1098103246 ISBN 13: 9781098103248
Idioma: Inglés
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
EUR 23,54
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Añadir al carritoPaperback. Condición: Good. 1. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.