Overview

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.

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