Natural Language Processing with Transformers: Building Language Applications with Hugging Face.
Natural-Language-Processing-with.pdf
ISBN: 9781098103248 | 410 pages | 11 Mb
- Natural Language Processing with Transformers: Building Language Applications with Hugging Face
- Page: 410
- Format: pdf, ePub, fb2, mobi
- ISBN: 9781098103248
- Publisher: O'Reilly Media, Incorporated
Good books to read free download Natural Language Processing with Transformers: Building Language Applications with Hugging Face by 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 Transformers - Amazon.ca
Natural Language Processing with Transformers: Building Language Applications with Hugging Face: Tunstall, Lewis, Werra, Leandro Von, Wolf,
nlp-with-transformers/notebooks - GitHub
Jupyter notebooks for the Natural Language Processing with Transformers book with Transformers: Building Language Applications with Hugging Face},
Natural Language Processing with Hugging Face
The package provides pre-trained models that can be used for numerous NLP tasks. Transformers also supports over 100 languages. It also provides the ability to
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Natural Language Processing with Transformers: Building Language Applications with Hugging Face. Pretrained Transformers for Text Ranking: Bert and Beyond
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Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa,
Amazon.com: Thomas Wolf - AI & Machine Learning
Natural Language Processing with Transformers: Building Language Applications with Hugging Face. by Lewis Tunstall , Leandro von Werra , et al.
Natural Language Processing with Transformers - Oblong Books
Feb 15, 2022 — Description · Build, debug, and optimize transformer models for core NLP tasks, such as text classification, named entity recognition, and Publication Date: February 15th, 2022Publisher: O'Reilly Media$59.99
Hugging Face – The AI community building the future.
GPT-2 (from OpenAI) released with the paper Language Models are PLBart (from UCLA NLP) released with the paper Unified Pre-training for Program
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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