Szczegóły ebooka

Mastering Transformers. Build state-of-the-art models from scratch with advanced natural language processing techniques

Mastering Transformers. Build state-of-the-art models from scratch with advanced natural language processing techniques

Savaş Yildirim, Meysam Asgari- Chenaghlu

Ebook
Transformer-based language models have dominated natural language processing (NLP) studies and have now become a new paradigm. With this book, you'll learn how to build various transformer-based NLP applications using the Python Transformers library.
The book gives you an introduction to Transformers by showing you how to write your first hello-world program. You'll then learn how a tokenizer works and how to train your own tokenizer. As you advance, you'll explore the architecture of autoencoding models, such as BERT, and autoregressive models, such as GPT. You'll see how to train and fine-tune models for a variety of natural language understanding (NLU) and natural language generation (NLG) problems, including text classification, token classification, and text representation. This book also helps you to learn efficient models for challenging problems, such as long-context NLP tasks with limited computational capacity. You'll also work with multilingual and cross-lingual problems, optimize models by monitoring their performance, and discover how to deconstruct these models for interpretability and explainability. Finally, you'll be able to deploy your transformer models in a production environment.
By the end of this NLP book, you'll have learned how to use Transformers to solve advanced NLP problems using advanced models.
  • 1. From Bag-of-Words to the Transformers
  • 2. A Hands-On Introduction to the Subject
  • 3. Autoencoding Language Models
  • 4. Autoregressive and Other Language Models
  • 5. Fine-Tuning Language Models for Text Classification
  • 6. Fine-Tuning Language Models for Token Classification
  • 7. Text Representation
  • 8. Working with Efficient Transformers
  • 9. Cross-Lingual and Multilingual Language Modeling
  • 10. Serving Transformer Models
  • 11. Attention Visualization and Experiment Tracking
  • Tytuł: Mastering Transformers. Build state-of-the-art models from scratch with advanced natural language processing techniques
  • Autor: Savaş Yildirim, Meysam Asgari- Chenaghlu
  • Tytuł oryginału: Mastering Transformers. Build state-of-the-art models from scratch with advanced natural language processing techniques
  • ISBN: 9781801078894, 9781801078894
  • Data wydania: 2021-09-15
  • Format: Ebook
  • Identyfikator pozycji: e_2a8y
  • Wydawca: Packt Publishing