Natural Language Processing with Transformers Revised Edition is popular PDF and ePub book, written by Lewis Tunstall in 2022-05-26, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Natural Language Processing with Transformers Revised Edition can be Read Online from any device for your convenience.
Natural Language Processing with Transformers Revised Edition Book PDF Summary
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
Detail Book of Natural Language Processing with Transformers Revised Edition PDF
- Author : Lewis Tunstall
- Release : 26 May 2022
- Publisher : "O'Reilly Media, Inc."
- ISBN : 9781098136765
- Genre : Computers
- Total Page : 409 pages
- Language : English
- PDF File Size : 17,8 Mb
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