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

Item #: 42761275

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

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Item #: 42761275

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What Stands Out

Hands-On Learning

Engaging, practical exercises enhance comprehension, enabling readers to build real-world applications using Transformers, fostering deeper insights and quicker mastery of complex NLP concepts.

Latest Techniques

Covers cutting-edge methodologies in NLP, ensuring readers are updated with the most current practices and tools, making them competitive in the rapidly evolving AI landscape.

Hugging Face Focus

Utilizes the popular Hugging Face library, providing detailed guidance and examples, making it accessible for both beginners and experienced developers looking to leverage state-of-the-art NLP capabilities.

Product Details

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

Publisher	O'Reilly Media
Publication date	March 1, 2022
Edition	1st
Language	English
Print length	406 pages
ISBN-10	9355420323
ISBN-13	978-9355420329
Item Weight	1.55 pounds (700 grams)
Dimensions	7 x 1 x 9.25 inches (17.8 x 2.5 x 23.5 cm)

Who Should Buy?

Beginner Learners
Ideal for those new to NLP, providing clear explanations and practical examples for foundational understanding.
Data Scientists
Perfect for data scientists looking to implement state-of-the-art NLP techniques using Hugging Face's transformer models.
Software Developers
Beneficial for developers wanting to integrate advanced language processing capabilities into their applications easily.

Advanced Experts
Not suited for NLP experts seeking highly technical content or advanced theory beyond basic application using transformers.

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Answer: The delivery time of your ordered product varies as per what you've ordered and the shipping method that you've chosen. The estimated delivery time is mentioned during the checkout process, so be carefree while shopping.

Natural Language Processing Editorial Review

Natural Language Processing with Transformers: Building Language Applications with Hugging Face provides an insightful journey into leveraging transformer models for natural language processing tasks. Weighing 2 lbs, this book offers a substantial amount of content, perfect for those looking to dive deep into developing language applications using Hugging Face. Readers can expect to learn the fundamental concepts and practical applications of transformers, thus enhancing their knowledge in the field. The comprehensive coverage helps both beginners and experienced practitioners to refine their skills, making it a valuable addition to any tech enthusiast's library.

Customer Reviews & Ratings

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171 customers ratings

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Pros

Comprehensive insights into NLP using transformers
Suitable for both beginners and advanced learners
Practical applications using Hugging Face
Well-structured and easy-to-follow content
Weighs 2 lbs, convenient for a comprehensive reference

Cons

Could benefit from more interactive examples

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AED 425

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Only 9 items left in stock.

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