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ISBN 10: 6207808134 ISBN 13: 9786207808137
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -This book, 'Hands-On Implementation of Transformer Models with Hugging Face,' serves as a comprehensive guide for understanding and applying transformer models in Natural Language Processing (NLP). It covers fundamental concepts, step-by-step instructions for fine-tuning and deploying models, practical applications, and ethical considerations. Through detailed explanations and code examples, readers will learn how to leverage Hugging Face's powerful library to build state-of-the-art NLP solutions, ensuring responsible and effective use of AI technologies.Books on Demand GmbH, Überseering 33, 22297 Hamburg 80 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207808134 ISBN 13: 9786207808137
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Hands-On Implementation of Transformer LLM Models with Hugging Face | Rupesh Kumar Tipu | Taschenbuch | 80 S. | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207808137 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
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ISBN 10: 6207808134 ISBN 13: 9786207808137
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Editore: LAP LAMBERT Academic Publishing Jun 2024, 2024
ISBN 10: 6207808134 ISBN 13: 9786207808137
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 80 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207808134 ISBN 13: 9786207808137
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book, 'Hands-On Implementation of Transformer Models with Hugging Face,' serves as a comprehensive guide for understanding and applying transformer models in Natural Language Processing (NLP). It covers fundamental concepts, step-by-step instructions for fine-tuning and deploying models, practical applications, and ethical considerations. Through detailed explanations and code examples, readers will learn how to leverage Hugging Face's powerful library to build state-of-the-art NLP solutions, ensuring responsible and effective use of AI technologies.