{ "item_title" : "Hugging Face Transformers", "item_author" : [" Calissa Corinne "], "item_description" : "Transformers are the backbone of modern AI-powering ChatGPT, BERT, T5, LLaMA, Stable Diffusion, and nearly every breakthrough in NLP today. But understanding how to build with Transformers, fine-tune them, and deploy them into real-world systems is still a challenge for many developers.This book changes that.Hugging Face Transformers: A Step-by-Step Guide to Building NLP Applications with Python is the most practical, complete, and up-to-date guide for developers who want to master Transformers from the ground up. Whether you're a beginner exploring NLP or an engineer building production AI systems, this book walks you through every concept with clarity, hands-on examples, and real projects.You won't just learn the theory-you'll build real applications using the latest tools from Hugging Face, PyTorch, FastAPI, and modern MLOps.What You'll LearnInside this book, you will discover:How Transformers work, explained in simple, intuitive languageTokenization, embeddings, positional encodings, attention, and decoder stacksHow to use Hugging Face libraries (Transformers, Datasets, Tokenizers)Fine-tuning techniques-including LoRA, PEFT, distillation, quantization & pruningBuilding real NLP applications: classification, text generation, translation, RAG, semantic searchVector databases and embeddings for production search systemsScaling and optimization: Accelerate, DeepSpeed, DDP, fp16/bf16Deploying Transformer models using FastAPI, Docker, Kubernetes, and Hugging Face Inference APIReal-world case studies and full end-to-end project workflowsTools to monitor, evaluate, audit, and update deployed NLP systemsCareer growth strategies, portfolio projects, and next steps in the AI ecosystemEvery chapter blends explanation with real code, practical insights, and step-by-step instructions. No fluff. No vague theory. Just clear, actionable knowledge.Who This Book Is ForThis book is designed for:Developers and ML engineers building modern NLP applicationsData scientists who want hands-on mastery of TransformersStudents and researchers learning through real examplesProfessionals integrating AI features into apps and business workflowsIf you can write Python, you can learn everything in this book.What Makes This Book DifferentBuilt around real production applicationsFrom semantic product search to chatbots, legal document analysis, and customer-service automation-this book teaches you exactly what companies use today.Covers modern fine-tuning techniquesLoRA, QLoRA, PEFT, distillation, pruning, quantization-everything developers need to optimize and scale.Deployment-first approachYou'll learn how to ship models, not just train them.Up-to-date with the newest Hugging Face featuresIncluding Inference Endpoints, Pipeline updates, Accelerate, and modern tokenizers.By the End of This BookYou will be able to:Train, fine-tune, optimize, and deploy your own Transformer modelsBuild production-ready NLP systems from scratchUnderstand and apply advanced optimization techniquesConfidently build apps powered by cutting-edge AI technologiesCreate a portfolio that stands out to employers and clientsTake Your NLP Skills to the Next LevelWhether you're building your first Transformer model or deploying a scalable NLP system in the cloud, this book gives you everything you need-clearly explained, professionally structured, and ready for real-world use.Start building the future of NLP today.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/827/456/9798274563369_b.jpg", "price_data" : { "retail_price" : "18.88", "online_price" : "18.88", "our_price" : "18.88", "club_price" : "18.88", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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