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Natural Language Processing With Transformers_ Building Language Applications With Hugging Face By Thomas Wolf EPUB

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	Status:	All the torrents in this section have been verified by our verification system
Category:	eBooks
Infohash	f3006e28aa23739518375c5a9cf7f2f40ec0001b
Size:	9.8 MB in 2 files
Release Date(s):	Torrent Release: 14-02-2022 by user
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Natural Language Processing with Transformers: Building Language Applications with Hugging Face by Thomas Wolf EPUB

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

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Filename		Size
	more books, audiobooks, magazines etc..txt	932 B
	Natural Language Processing with Transformers by Thomas Wolf.epub	9.8 MB

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