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Introduction to transformers for NLP : with the Hugging Face library and models to solve problems /
Get a hands-on introduction to Transformer architecture using the Hugging Face library. This book explains how Transformers are changing the AI domain, particularly in the area of natural language processing. This book covers Transformer architecture and its relevance in natural language processing...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Apress,
2022.
|
| Edición: | [First edition]. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
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| 100 | 1 | |a Jain, Shashank Mohan, |e author. | |
| 245 | 1 | 0 | |a Introduction to transformers for NLP : |b with the Hugging Face library and models to solve problems / |c Shashank Mohan Jain. |
| 246 | 3 | |a Introduction to transformers for natural language processing | |
| 250 | |a [First edition]. | ||
| 264 | 1 | |a New York, NY : |b Apress, |c 2022. | |
| 300 | |a 1 online resource (169 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 500 | |a Includes index. | ||
| 520 | |a Get a hands-on introduction to Transformer architecture using the Hugging Face library. This book explains how Transformers are changing the AI domain, particularly in the area of natural language processing. This book covers Transformer architecture and its relevance in natural language processing (NLP). It starts with an introduction to NLP and a progression of language models from n-grams to a Transformer-based architecture. Next, it offers some basic Transformers examples using the Google colab engine. Then, it introduces the Hugging Face ecosystem and the different libraries and models provided by it. Moving forward, it explains language models such as Google BERT with some examples before providing a deep dive into Hugging Face API using different language models to address tasks such as sentence classification, sentiment analysis, summarization, and text generation. After completing Introduction to Transformers for NLP, you will understand Transformer concepts and be able to solve problems using the Hugging Face library. | ||
| 505 | 0 | |a Chapter 1: Introduction to Language Models -- Chapter 2: Introduction to Transformers -- Chapter 3: BERT -- Chapter 4: Hugging Face -- Chapter 5: Tasks Using the Huggingface Library -- Chapter 6: Fine-Tuning Pre-Trained Models -- Appendix A: Vision Transformers. | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Natural language processing (Computer science) | |
| 650 | 7 | |a Natural language processing (Computer science) |2 fast |0 (OCoLC)fst01034365 | |
| 655 | 0 | |a Electronic books. | |
| 776 | 0 | 8 | |c Original |z 1484288432 |z 9781484288436 |w (OCoLC)1342491545 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781484288443/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a Askews and Holts Library Services |b ASKH |n AH40959951 | ||
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL7120644 | ||
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