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Mastering Transformers

You're reading from  Mastering Transformers

Product type Book
Published in Sep 2021
Publisher Packt
ISBN-13 9781801077651
Pages 374 pages
Edition 1st Edition
Languages
Authors (2):
Savaş Yıldırım Savaş Yıldırım
Profile icon Savaş Yıldırım
Meysam Asgari- Chenaghlu Meysam Asgari- Chenaghlu
Profile icon Meysam Asgari- Chenaghlu
View More author details

Table of Contents (16) Chapters

Preface 1. Section 1: Introduction – Recent Developments in the Field, Installations, and Hello World Applications
2. Chapter 1: From Bag-of-Words to the Transformer 3. Chapter 2: A Hands-On Introduction to the Subject 4. Section 2: Transformer Models – From Autoencoding to Autoregressive Models
5. Chapter 3: Autoencoding Language Models 6. Chapter 4:Autoregressive and Other Language Models 7. Chapter 5: Fine-Tuning Language Models for Text Classification 8. Chapter 6: Fine-Tuning Language Models for Token Classification 9. Chapter 7: Text Representation 10. Section 3: Advanced Topics
11. Chapter 8: Working with Efficient Transformers 12. Chapter 9:Cross-Lingual and Multilingual Language Modeling 13. Chapter 10: Serving Transformer Models 14. Chapter 11: Attention Visualization and Experiment Tracking 15. Other Books You May Enjoy

Other Books You May Enjoy

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Getting Started with Google BERT

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  • Understand the transformer model from the ground up
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  • Get to grips with ALBERT, RoBERTa, ELECTRA, and SpanBERT models
  • Get the hang of the BERT models based on knowledge distillation

Mastering spaCy

Mastering spaCy

Duygu Altınok

ISBN: 978-1-80056-335-3

  • Install spaCy, get started easily, and write your first Python script
  • Understand core linguistic operations of spaCy
  • Discover how to combine rule-based components with spaCy statistical models
  • Become well-versed with named entity and keyword extraction
  • ...

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Published in: Sep 2021 Publisher: Packt ISBN-13: 9781801077651
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