Transformers are no longer just research tools—they are the engine behind today’s most powerful AI systems . From ChatGPT to Stable Diffusion, the transformer architecture drives the breakthroughs that are redefining industries. If you want to move beyond theory and start building real-world applications, this book shows you exactly how. Packed with hands-on projects and production-ready code, Transformers in Action with Hugging Face and PyTorch takes you step by step from fundamentals to advanced deployment. You’ll not only understand how transformers work—you’ll apply them in projects that deliver tangible results. Here’s what you’ll master inside: Build text classifiers, chatbots, and summarisation tools using pretrained models. Apply Vision Transformers (ViTs) for image recognition, object detection, and captioning. Combine text and vision in multimodal systems like search engines and recommendation platforms. Fine-tune large models efficiently with parameter-saving techniques. Deploy transformers at scale with APIs, ONNX, and cloud endpoints. Written by an AI practitioner with deep experience in real-world deployments, this book balances clarity with technical rigor. Every concept is backed by runnable examples, making learning practical and rewarding. Who is this book for? Developers, data scientists, and AI enthusiasts who want to go beyond tutorials and start creating deployable NLP, vision, and multimodal systems. The future of AI is multimodal, scalable, and production-ready. Don’t get left behind—equip yourself with the skills to build systems that matter. Scroll up and secure your copy today to transform your AI journey into action.