Natural language processing with transformers: building language applications with Hugging Face
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...
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| Beteiligte Personen: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Sebastopol, CA
O'Reilly Media
2023
|
| Ausgabe: | Revised edition. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781098136789/?ar |
| Zusammenfassung: | 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, pruning, and quantization Train transformers from scratch and learn how to scale to multiple GPUs and distributed environments. |
| Beschreibung: | Description based on online resource; title from digital title page (viewed on April 04, 2023) |
| Umfang: | 1 Online-Ressource |
| ISBN: | 1098136764 9781098136765 9781098136758 1098136756 |
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| spelling | Tunstall, Lewis VerfasserIn aut Natural language processing with transformers building language applications with Hugging Face Lewis Tunstall, Leandro von Werra & Thomas Wolf Revised edition. Sebastopol, CA O'Reilly Media 2023 ©2022 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Description based on online resource; title from digital title page (viewed on April 04, 2023) 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, pruning, and quantization Train transformers from scratch and learn how to scale to multiple GPUs and distributed environments. Natural language processing (Computer science) Python (Computer program language) Machine learning Cloud computing Traitement automatique des langues naturelles Python (Langage de programmation) Apprentissage automatique Infonuagique Werra, Leandro von VerfasserIn aut Wolf, Thomas VerfasserIn aut 9781098136796 Erscheint auch als Druck-Ausgabe 9781098136796 |
| spellingShingle | Tunstall, Lewis Werra, Leandro von Wolf, Thomas Natural language processing with transformers building language applications with Hugging Face Natural language processing (Computer science) Python (Computer program language) Machine learning Cloud computing Traitement automatique des langues naturelles Python (Langage de programmation) Apprentissage automatique Infonuagique |
| title | Natural language processing with transformers building language applications with Hugging Face |
| title_auth | Natural language processing with transformers building language applications with Hugging Face |
| title_exact_search | Natural language processing with transformers building language applications with Hugging Face |
| title_full | Natural language processing with transformers building language applications with Hugging Face Lewis Tunstall, Leandro von Werra & Thomas Wolf |
| title_fullStr | Natural language processing with transformers building language applications with Hugging Face Lewis Tunstall, Leandro von Werra & Thomas Wolf |
| title_full_unstemmed | Natural language processing with transformers building language applications with Hugging Face Lewis Tunstall, Leandro von Werra & Thomas Wolf |
| title_short | Natural language processing with transformers |
| title_sort | natural language processing with transformers building language applications with hugging face |
| title_sub | building language applications with Hugging Face |
| topic | Natural language processing (Computer science) Python (Computer program language) Machine learning Cloud computing Traitement automatique des langues naturelles Python (Langage de programmation) Apprentissage automatique Infonuagique |
| topic_facet | Natural language processing (Computer science) Python (Computer program language) Machine learning Cloud computing Traitement automatique des langues naturelles Python (Langage de programmation) Apprentissage automatique Infonuagique |
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