Mastering Transformers

Build state-of-the-art models from scratch with advanced natural language processing techniques. Explore the accurate and fast fine-tuning capabilities of transformer-based language models and understand how they outperform traditional machine learning-based approaches when solving challenging NLU problems. Developers working with the Transformers architecture will be able to put their knowledge to work with this practical guide.

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

• Explore quick prototyping with up-to-date Python libraries to create effective solutions to industrial problems
• Solve advanced NLP problems such as named-entity recognition, information extraction, language generation, and conversational AI
• Monitor your model's performance with the help of BertViz, exBERT, and TensorBoard

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.

• 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

This book is for deep learning researchers, hands-on NLP practitioners, as well as ML/NLP educators and students who want to start their journey with Transformers. Beginner-level machine learning knowledge and a good command of Python will help you get the best out of this book.

UK Delivery:

• Free delivery on all orders of £10 or more.
• £1.49 delivery fee on orders below £10.
• UK orders are shipped via Royal Mail 2nd Class.

International Delivery:

• Flat rate delivery charges vary by country.

Dispatch and Delivery Times:

• All orders are shipped from our warehouse in Northampton, UK within 48 hours of receipt during working hours.
• UK mainland orders typically arrive within 3-5 working days via Royal Mail 2nd Class.
• International estimated delivery times:
• Europe & Channel Islands: 7 to 10 working days
• USA: 7 to 15 working days
• Rest of the World: 9 to 21 working days

View our full delivery infomation here.