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180596702
Natural Language Processing with Transformers, Revised Edition
Item #:
180596702
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Transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks.
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Product Details
- 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. Daha fazla göster
| Yayıncı | O'Reilly Media |
| Yayınlanma Tarihi | 17 Haziran 2022 |
| Baskı | Revised |
| Dil | İngilizce |
| Baskı Uzunluğu | 406 sayfa |
| ISBN-10 | 1098136799 |
| ISBN-13 | 978-1098136796 |
| Boyutlar | 17.78 x 2.54 x 23.5 cm |
Product Description
Natural Language Processing with Transformers, Revised Edition
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Customer Questions & Answers
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Question:
What makes transformers the dominant architecture for NLP tasks?
Answer: Transformers consistently achieve state-of-the-art results in natural language processing tasks. -
Question:
What is the benefit of using Hugging Face Transformers?
Answer: Hugging Face Transformers is a Python-based deep learning library that enables training and scaling of transformer models. -
Question:
Can transformers be used with limited labeled data?
Answer: Yes, this book teaches how to apply transformers in real-world scenarios with limited labeled data.
İngilizce Baskı Leandro Von Werra , Lewis Tunstall Editorial Review
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Features & Benefits
- Train and scale transformer models using Hugging Face Transformers
- Build, debug, and optimize transformer models for core NLP tasks
- Apply transformers in real-world scenarios with limited labeled data
- Make transformer models efficient for deployment
- Train transformers from scratch and scale to multiple GPUs
- Authors are among the creators of Hugging Face Transformers
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