Mastering Transformers

eBook Details:

• Paperback: 374 pages
• Publisher: WOW! eBook (September 15, 2021)
• Language: English
• ISBN-10: 1801077657
• ISBN-13: 978-1801077651

eBook Description:

Mastering Transformers: Take a problem-solving approach to learning all about transformers and get up and running in no time by implementing methodologies that will build the future of NLP

Transformer-based language models have dominated natural language processing (NLP) studies and have now become a new paradigm. With this Mastering Transformers 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.

• Explore state-of-the-art NLP solutions with the Transformers library
• Train a language model in any language with any transformer architecture
• Fine-tune a pre-trained language model to perform several downstream tasks
• Select the right framework for the training, evaluation, and production of an end-to-end solution
• Get hands-on experience in using TensorBoard and Weights & Biases
• Visualize the internal representation of transformer models for interpretability

By the end of this Mastering Transformers NLP book, you’ll have learned how to use Transformers to solve advanced NLP problems using advanced models.

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