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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
Free downloadable book texts Natural Language Processing with Transformers: Building Language Applications with Hugging Face (English Edition) 9781098103248
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 Attention Models | Coursera
a) Translate complete English sentences into German using an encoder-decoder attention model, b) Build a Transformer model to summarize text, c) Use T5 and BERT
Building Language Applications with Hugging Face Paperback
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Computers / Artificial Intelligence / Natural Language Processing
(This book cannot be returned.) Natural Language Processing with Transformers: Building Language Applications with Hugging Face Cover Image · Natural Language
Getting Started with Hugging Face Transformers for NLP
Hugging Face : The Best Natural Language Processing Ecosystem You're read that Hugging Face is the “AI community building the future.
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
Thomas Wolf
I'm interested in Natural Language Processing, Deep Learning and the work we do at Huggingface, current trends in AI/NLP and my unusual background.
Natural Language Processing with Transformers - Booktopia
Booktopia has Natural Language Processing with Transformers, Building Language Applications with Hugging Face by Lewis Tunstall.
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
Top books on Transformers in 2022 - Analytics India Magazine
Natural Language Processing with Transformers: Building Language Applications with Hugging Face. Author: Lewis Tunstall, Leandro von Werra
Explainable Natural Language Processing - Amazon.com
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Applied Natural Language Processing in the Enterprise
With a basic understanding of machine learning and some Python experience, you'll learn how to build, train, and deploy models for real-world applications in
Natural Language Processing with Transformers - Goodreads
If you're a data scientist or machine learning engineer, this practical book shows you how to train and scale these large models using HuggingFace Transformers,
Natural Language Processing with Transformers - FoxTale
Natural Language Processing with Transformers: Building Language Applications with Hugging Face (Paperback). By Lewis Tunstall, Leandro Von
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