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100%: Tunstall, Lewis; Von Werra, Leandro; Wolf, Thomas: Natural Language Processing with Transformers (ISBN: 9781098136796) 2022, O'Reilly Media, Inc., in Englisch, Taschenbuch.Nur diese Ausgabe anzeigen…
100%: Lewis Tunstall: Natural Language Processing with Transformers, Revised Edition (ISBN: 9781098136758) 2017, O'Reilly Media, in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
30%: Lewis Tunstall/ Leandro von Werra/ Thomas Wolf: Natural Language Processing With Transformers: Building Language Applications With Hugging Face (ISBN: 9781098103248) OREILLY MEDIA, in Englisch, Taschenbuch.Nur diese Ausgabe anzeigen…
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Natural Language Processing with Transformers, Revised Edition (2017)
EN NW EB DLISBN: 9781098136758 bzw. 1098136756, in Englisch, O'Reilly Media, neu, E-Book, elektronischer Download.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Despatched same working day before 3pm.
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.
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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Natural Language Processing with Transformers
~EN NWISBN: 9781098136796 bzw. 1098136799, vermutlich in Englisch, O'Reilly Media, neu.
Lieferung aus: Österreich, plus shipping.
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.
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.
3
Natural Language Processing with Transformers, Revised Edition (2022)
EN PB NWISBN: 9781098136796 bzw. 1098136799, in Englisch, Taschenbuch, neu.
Lieferung aus: Niederlande, plus shipping.
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. Computerboeken, Alle computerboeken, Engelse Boeken > Computerboeken > Alle computerboeken.
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. Computerboeken, Alle computerboeken, Engelse Boeken > Computerboeken > Alle computerboeken.
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Natural Language Processing with Transformers: Building Language Applications with Hugging Face
~EN PB NWISBN: 1098103246 bzw. 9781098103248, vermutlich in Englisch, OREILLY MEDIA, Taschenbuch, neu.
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Natural Language Processing with Transformers
~EN PB NWISBN: 1098136799 bzw. 9781098136796, vermutlich in Englisch, O'Reilly UK Ltd. Taschenbuch, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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Natural Language Processing With Transformers: Building Language Applications With Hugging Face
~EN NWISBN: 9781098103248 bzw. 1098103246, vermutlich in Englisch, neu.
Lieferung aus: Kanada, plus shipping.
Natural Language Processing With Transformers: Building Language Applications With Hugging Face.
Natural Language Processing With Transformers: Building Language Applications With Hugging Face.
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