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

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

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

Free download books for kindle fire Natural Language Processing with Transformers: Building Language Applications with Hugging Face CHM MOBI 9781098103248 by

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

How the revolution of natural language processing is
Clement Delangue is the co-founder and CEO of Hugging Face, a startup focused on natural language processing that has raised more than $20M. The company created 
Building Language Applications with Hugging Face 1st Edition
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, Publisher: O'Reilly Media; 1st edition (February Item Weight: 1.43 pounds (0.64 kg)Dimensions: 7 x 0.84 x 9.19 inches (17.8 x 2.1 x 9 reviews · ‎TZS 123,298.00 · ‎In stock
Natural Language Processing with Transformers - Barnes
Feb 22, 2022 — Since their introduction in 2017, transformers have quickly become with Transformers: Building Language Applications with Hugging Face.Product dimensions: 7.00(w) x 9.19(h) x 0.84(d)Publication date: 02/22/2022
Natural Language Processing with Transformers - WHSmith
Order a Natural Language Processing with Transformers: Building Language Applications with Hugging Face today from WHSmith. Delivery free on all UK orders 
Natural Language Processing with Transformers - Hugging Face
We're on a journey to advance and democratize artificial intelligence through open source and open science.

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