Natural Language Processing with Transformers: Build Chatbots and Language Models with Python

Teach machines to understand and generate human language—with powerful transformer models.

Natural Language Processing with Transformers is your hands-on guide to building modern NLP applications using Python. Whether you're working on chatbots, sentiment analysis, translation, or text summarization, this book shows you how to use cutting-edge transformer models like BERT, GPT, and T5 to bring your ideas to life.

You’ll go beyond traditional NLP techniques and learn how to work with pre-trained models, fine-tune them for custom tasks, and integrate them into real-world Python applications.

Inside, you’ll learn how to:

• Understand the architecture behind transformers and attention mechanisms

• Use the Hugging Face Transformers library to access pre-trained models

• Tokenize and process text for model input and output

• Build a chatbot using a conversational transformer

• Fine-tune models for classification, summarization, and Q&A tasks

• Apply sentiment analysis and named entity recognition (NER)

• Handle multilingual tasks like translation and language detection

• Deploy models using simple Python scripts or APIs

Each chapter includes code samples, clear explanations, and practical projects you can use and adapt.

Whether you're a data scientist, developer, or tech enthusiast, Natural Language Processing with Transformers gives you the tools to start building intelligent language apps today.