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Natural Language Processing with Transformers: Building Language Applications with Hugging Face.

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ISBN: 9781098103248 | 410 pages | 11 Mb

• Natural Language Processing with Transformers: Building Language Applications with Hugging Face
• Page: 410
• Format: pdf, ePub, fb2, mobi
• ISBN: 9781098103248
• Publisher: O'Reilly Media, Incorporated

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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 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 with Transformers - WHSmith
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Getting Started With Hugging Face Transformers for NLP
Hugging Face: The Best Natural Language Processing Ecosystem You're Not Using? If you've been even vaguely aware of developments in machine 
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Building a Pipeline for State-of-the-Art Natural Language
The natural language processing (NLP) landscape has radically changed with of Hugging Face transformers, we'll be talking about the pipeline in NLP and 
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It expertly introduces transformers and mentors the reader for building innovative deep neural network architectures for NLP. The book covers almost all game- 
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Kickstart your NLP journey by exploring BERT and its variants such as ALBERT, RoBERTa, DistilBERT, VideoBERT, and more with Hugging Face's transformers 
Natural Language Processing with Transformers - Amazon
Natural Language Processing with Transformers: Building Language Applications with Hugging Face | Tunstall, Lewis, Werra, Leandro von, Wolf, Thomas | ISBN: 
Amazon.com: Transformers for Natural Language Processing
It expertly introduces transformers and mentors the reader for building innovative deep neural network architectures for NLP. The book covers almost all game- 
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