Hugging Face Transformers Essentials
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Hugging Face Transformers Essentials
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Author : Robert Johnson
language : en
Publisher:
Release Date : 2025
Hugging Face Transformers Essentials written by Robert Johnson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with Computers categories.
Nlp Essentials With Hugging Face
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Author : Elowen Faye
language : en
Publisher: Independently Published
Release Date : 2025-10-12
Nlp Essentials With Hugging Face written by Elowen Faye and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-12 with Computers categories.
Embark on your Natural Language Processing (NLP) journey with NLP Essentials with Hugging Face: A Beginner's Guide to Transformers, Tokenization, and Core NLP Techniques. Tailored for beginners and intermediate learners, this comprehensive guide introduces the fundamentals of NLP using Hugging Face's powerful ecosystem. From the evolution of NLP to mastering transformer models like BERT, GPT, and T5, this book provides hands-on experience with tokenization, fine-tuning, model evaluation, and deploying NLP applications. Through 13 structured chapters, explore the Hugging Face Transformers library, Datasets, Tokenizers, and Hub, with practical tutorials, real-world case studies, and Python code examples. Learn essential NLP tasks such as text classification, sentiment analysis, named entity recognition, and text generation, while staying updated on emerging trends. Whether you're a student, data scientist, or aspiring AI developer, this book equips you with the skills to build effective NLP solutions and excel in the dynamic AI landscape.
Python Programming Basic To Advanced
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Author : Puja S. Gholap
language : en
Publisher: GRIN Verlag
Release Date : 2025-05-26
Python Programming Basic To Advanced written by Puja S. Gholap and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-26 with Computers categories.
Document from the year 2025 in the subject Engineering - Computer Engineering, grade: A, Savitribai Phule Pune University, formerly University of Pune (Savitribai Phule Pune University), course: B.E, language: English, abstract: Welcome to a comprehensive journey through the world of Python programming, a language that has revolutionized the field of computer science and continues to be a vital tool in various professional domains. This book, "Python Programming for All: Basic to Advanced," aims to empower readers like you with the knowledge and skills to harness the full potential of Python, no matter your starting point. Python's simplicity and versatility have made it one of the most beloved programming languages among both beginners and seasoned coders. Whether you are a student, a hobbyist, a professional coder, or even someone from a non-technical background looking to dip your toes into the world of programming, this book is for you. The book is structured to provide a gradual learning experience, starting from the very basics and gradually moving towards advanced concepts. In the early chapters, you will be introduced to the fundamental aspects of Python, such as syntax, data types, and control structures. As you progress, you will explore more complex topics like object-oriented programming, data structures, algorithms, and more. By the end, you will be equipped to use Python for a wide range of applications, from web development and data analysis to artificial intelligence and machine learning. Each chapter is designed with a balance of theory and practical examples, followed by exercises that reinforce learning. The book also includes useful tips and tricks, common pitfalls to avoid, and insights into how Python is used in the real world. The goal of "Python Programming for All: Basic to Advance" is not just to teach you Python, but also to instill a problem-solving mindset and coding best practices. This will enable you to not just understand Python, but also to think like a Python programmer. We hope that this book will ignite your passion for programming and open up new opportunities for you in the digital world. So, get ready to embark on a thrilling adventure into the world of Python programming!
Natural Language Processing In Action Second Edition
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Author : Hobson Lane
language : en
Publisher: Simon and Schuster
Release Date : 2025-02-25
Natural Language Processing In Action Second Edition written by Hobson Lane and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-25 with Computers categories.
Develop your NLP skills from scratch, with an open source toolbox of Python packages, Transformers, Hugging Face, vector databases, and your own Large Language Models. Natural Language Processing in Action, Second Edition has helped thousands of data scientists build machines that understand human language. In this new and revised edition, you’ll discover state-of-the art Natural Language Processing (NLP) models like BERT and HuggingFace transformers, popular open-source frameworks for chatbots, and more. You’ll create NLP tools that can detect fake news, filter spam, deliver exceptional search results and even build truthfulness and reasoning into Large Language Models (LLMs). In Natural Language Processing in Action, Second Edition you will learn how to: • Process, analyze, understand, and generate natural language text • Build production-quality NLP pipelines with spaCy • Build neural networks for NLP using Pytorch • BERT and GPT transformers for English composition, writing code, and even organizing your thoughts • Create chatbots and other conversational AI agents In this new and revised edition, you’ll discover state-of-the art NLP models like BERT and HuggingFace transformers, popular open-source frameworks for chatbots, and more. Plus, you’ll discover vital skills and techniques for optimizing LLMs including conversational design, and automating the “trial and error” of LLM interactions for effective and accurate results. About the technology From nearly human chatbots to ultra-personalized business reports to AI-generated email, news stories, and novels, natural language processing (NLP) has never been more powerful! Groundbreaking advances in deep learning have made high-quality open source models and powerful NLP tools like spaCy and PyTorch widely available and ready for production applications. This book is your entrance ticket—and backstage pass—into the next generation of natural language processing. About the book Natural Language Processing in Action, Second Edition introduces the foundational technologies and state-of-the-art tools you’ll need to write and publish NLP applications. You learn how to create custom models for search, translation, writing assistants, and more, without relying on big commercial foundation models. This fully updated second edition includes coverage of BERT, Hugging Face transformers, fine-tuning large language models, and more. What's inside • NLP pipelines with spaCy • Neural networks with PyTorch • BERT and GPT transformers • Conversational design for chatbots About the reader For intermediate Python programmers familiar with deep learning basics. About the author Hobson Lane is a data scientist and machine learning engineer with over twenty years of experience building autonomous systems and NLP pipelines. Maria Dyshel is a social entrepreneur and artificial intelligence expert, and the CEO and cofounder of Tangible AI. Cole Howard and Hannes Max Hapke were co-authors of the first edition.
Deep Learning With Jax
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Author : Grigory Sapunov
language : en
Publisher: Simon and Schuster
Release Date : 2024-12-03
Deep Learning With Jax written by Grigory Sapunov and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-03 with Computers categories.
Accelerate deep learning and other number-intensive tasks with JAX, Google’s awesome high-performance numerical computing library. The JAX numerical computing library tackles the core performance challenges at the heart of deep learning and other scientific computing tasks. By combining Google’s Accelerated Linear Algebra platform (XLA) with a hyper-optimized version of NumPy and a variety of other high-performance features, JAX delivers a huge performance boost in low-level computations and transformations. In Deep Learning with JAX you will learn how to: • Use JAX for numerical calculations • Build differentiable models with JAX primitives • Run distributed and parallelized computations with JAX • Use high-level neural network libraries such as Flax • Leverage libraries and modules from the JAX ecosystem Deep Learning with JAX is a hands-on guide to using JAX for deep learning and other mathematically-intensive applications. Google Developer Expert Grigory Sapunov steadily builds your understanding of JAX’s concepts. The engaging examples introduce the fundamental concepts on which JAX relies and then show you how to apply them to real-world tasks. You’ll learn how to use JAX’s ecosystem of high-level libraries and modules, and also how to combine TensorFlow and PyTorch with JAX for data loading and deployment. About the technology Google’s JAX offers a fresh vision for deep learning. This powerful library gives you fine control over low level processes like gradient calculations, delivering fast and efficient model training and inference, especially on large datasets. JAX has transformed how research scientists approach deep learning. Now boasting a robust ecosystem of tools and libraries, JAX makes evolutionary computations, federated learning, and other performance-sensitive tasks approachable for all types of applications. About the book Deep Learning with JAX teaches you to build effective neural networks with JAX. In this example-rich book, you’ll discover how JAX’s unique features help you tackle important deep learning performance challenges, like distributing computations across a cluster of TPUs. You’ll put the library into action as you create an image classification tool, an image filter application, and other realistic projects. The nicely-annotated code listings demonstrate how JAX’s functional programming mindset improves composability and parallelization. What's inside • Use JAX for numerical calculations • Build differentiable models with JAX primitives • Run distributed and parallelized computations with JAX • Use high-level neural network libraries such as Flax About the reader For intermediate Python programmers who are familiar with deep learning. About the author Grigory Sapunov holds a Ph.D. in artificial intelligence and is a Google Developer Expert in Machine Learning. The technical editor on this book was Nicholas McGreivy. Table of Contents Part 1 1 When and why to use JAX 2 Your first program in JAX Part 2 3 Working with arrays 4 Calculating gradients 5 Compiling your code 6 Vectorizing your code 7 Parallelizing your computations 8 Using tensor sharding 9 Random numbers in JAX 10 Working with pytrees Part 3 11 Higher-level neural network libraries 12 Other members of the JAX ecosystem A Installing JAX B Using Google Colab C Using Google Cloud TPUs D Experimental parallelization
Motor Sport
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Author : William Boddy
language : en
Publisher:
Release Date : 1964
Motor Sport written by William Boddy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1964 with Automobile racing categories.
Master Nlp With Hugging Face A Fine Tuning Toolkit
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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :
Master Nlp With Hugging Face A Fine Tuning Toolkit written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
In the ever-evolving world of Natural Language Processing (NLP), "Master NLP with Hugging Face: A Fine-tuning Toolkit" equips you to unlock the power of pre-trained models from Hugging Face. This comprehensive guide empowers you to transform these powerful models into workhorses for your specific NLP tasks. Gone are the days of training complex NLP models from scratch. This book dives into the art of fine-tuning, a technique that leverages the vast knowledge pre-trained models have already acquired and tailors it to your specific needs. You'll delve into the fundamentals of fine-tuning, understanding how to take a pre-trained model and adjust its final layers to excel on your chosen NLP task, whether it's text classification, sentiment analysis, question answering, or summarization. The book doesn't just provide theory - it's a hands-on toolkit. You'll establish your NLP development environment, ensuring you have the necessary tools to get started. By following step-by-step guides, you'll navigate the treasure trove of pre-trained models on the Hugging Face Model Hub, selecting the perfect model for your project. Data is the fuel for fine-tuning, and this book equips you to prepare your data effectively. Learn essential data cleaning and pre-processing techniques to ensure your model receives high-quality input. Master the art of data splitting, creating distinct training, validation, and test sets to optimize your model's performance and generalization capabilities. As you venture into fine-tuning, the book equips you to tackle challenges like overfitting and data requirements. Explore techniques to mitigate these issues and ensure your fine-tuned model performs exceptionally well on unseen data. Moving beyond the basics, "Master NLP with Hugging Face" introduces you to advanced concepts like building custom pipelines for text processing and customizing training configurations for optimal performance. You'll also gain insights into evaluation metrics, allowing you to precisely measure the effectiveness of your fine-tuned model for your specific NLP task. This book is your gateway to the exciting world of fine-tuning Hugging Face Transformers. With its comprehensive guidance and practical approach, you'll be well on your way to building robust and efficient NLP applications that can handle real-world challenges.
Mastering Hugging Face Transformers And Llms
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Author : Robertto Tech
language : en
Publisher: Independently Published
Release Date : 2025-11-18
Mastering Hugging Face Transformers And Llms written by Robertto Tech and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-18 with Computers categories.
Mastering Hugging Face Transformers and LLMs The Complete Hands-On Guide to Fine-Tuning, RAG Pipelines, Multimodal AI, Agentic Workflows, and Scalable Deployment with Python and PyTorch Unlock the full power of modern AI with this definitive, hands-on guide to building, fine-tuning, and deploying cutting-edge Transformer and LLM systems using the Hugging Face ecosystem. Whether you are developing intelligent applications, designing multimodal AI pipelines, or architecting scalable RAG and agentic workflows, this book shows you exactly how to do it with clarity, depth, and real-world precision. Built for developers, AI engineers, and data scientists, this book goes far beyond surface-level tutorials. You will learn how state-of-the-art models actually work, how to optimize them for specialized tasks using LoRA and QLoRA, how to build production-grade RAG systems with FAISS and Hugging Face Datasets, and how to orchestrate complex workflows that combine reasoning, retrieval, and action. Every chapter includes runnable end-to-end examples in Python and PyTorch, best practices for scaling and security, and expert guidance you can immediately apply to real-world projects. From model internals to deployment patterns, from multimodal pipelines to agentic automation, this is the most complete practical guide you will find on transforming Hugging Face technology into powerful, reliable, production-ready systems. What You Will Learn How Transformers, embeddings, tokenization, and attention mechanisms actually work under the hood. How to fine-tune LLMs efficiently using LoRA, QLoRA, and PEFT workflows. How to build high-performance RAG systems using FAISS, Hugging Face Datasets, and custom retrievers. How to integrate vision, text, audio, and multimodal models into unified pipelines. How to design and deploy agentic systems that retrieve, reason, plan, and take actions. How to scale inference with quantization, batching, and optimized serving strategies. How to deploy your models using containerized, serverless, or GPU-backed environments. How to apply safety, governance, and robust evaluation throughout the model lifecycle. Who This Book Is For This book is for professionals who want to build real AI systems, not toy demos. Ideal for: AI engineers, full-stack developers, data scientists, machine learning practitioners, and technical founders looking to leverage Transformer and LLM technologies in production environments. If you know Python and understand the basics of machine learning, you are ready to master the world of Hugging Face and modern LLM development. Why This Book Is Different Most AI books stop at simple examples. This one takes you all the way to production: Scalable architectures, deployment patterns, agentic workflows, observability, security, evaluation, responsible AI, and the full engineering lifecycle. You learn not just how to build modern AI systems-but how to make them reliable, safe, and performant at scale.
Advanced Hugging Face Techniques
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Author : Gordon Lago
language : en
Publisher: Independently Published
Release Date : 2025-09-20
Advanced Hugging Face Techniques written by Gordon Lago and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-20 with Computers categories.
Unlock the full potential of Hugging Face Transformers and take your AI projects to the next level. This advanced developer's guide is packed with hands-on code, real-world examples, and cutting-edge techniques that go far beyond the basics. Designed for developers, engineers, and technical practitioners, this book shows you how to build, optimize, and deploy production-ready AI systems using Hugging Face. Inside, you'll learn how to: Fine-tune large models with LoRA, QLoRA, and parameter-efficient training Build multi-modal models that handle text, vision, and speech together Implement Retrieval-Augmented Generation (RAG) with FAISS, Pinecone, Weaviate, and Qdrant Optimize inference with quantization, distillation, and Hugging Face Optimum Deploy scalable models using FastAPI, Docker, Ray Serve, and Kubernetes Integrate Hugging Face with real-world workflows, APIs, and enterprise applications Apply advanced prompting, alignment, and evaluation techniques to control outputs responsibly This isn't a beginner's overview; it's a deep dive for developers who want to move beyond toy projects and into scalable, production-grade AI systems. Each chapter is filled with practical, ready-to-run examples in Python that you can adapt directly to your own use cases. Whether you're working on enterprise NLP pipelines, RAG systems, speech-to-text applications, or multi-agent AI integrations, this book gives you the advanced Hugging Face skills you need to deliver high-performance, real-world AI solutions. If you've been searching for a Hugging Face tutorial for developers, a practical guide to multi-modal models, or a roadmap for deploying production-ready Transformers, this is the book you've been waiting for. Code rich, example driven, and future focused, this is the advanced Hugging Face guide developers have been asking for
Hugging Face Transformers
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Author : Evan Walters
language : en
Publisher: Independently Published
Release Date : 2024-02-07
Hugging Face Transformers written by Evan Walters and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-07 with Computers categories.
Unleash the Power of LLMs: Master Hugging Face Transformers to Build Cutting-Edge Language Applications About the Technology: Embrace the transformative potential of Large Language Models (LLMs) with Hugging Face Transformers, a revolutionary open-source library. Designed by and for developers, it provides essential tools and pre-trained models to construct innovative solutions across diverse domains. Whether you're a seasoned practitioner or a budding enthusiast, this comprehensive guide empowers you to unlock the vast potential of LLMs. Dive into the Book's Depths: Master the Fundamentals: Gain a solid understanding of LLM architectures, training methodologies, and fine-tuning techniques, equipping you to navigate the complex world of language models with confidence. Harness the Power of Hugging Face: Delve into the intricacies of Hugging Face Transformers, exploring its rich ecosystem of pre-trained models, pipelines, and utilities to streamline your development journey. Build Real-World Applications: Go beyond theory and delve into practical applications. Craft chatbots that hold engaging conversations, generate different creative text formats, translate languages flawlessly, and much more. Stay Ahead of the Curve: Uncover emerging trends and cutting-edge advancements in the LLM landscape, ensuring you remain at the forefront of this rapidly evolving field. Why You Need This Book: Unleash LLM Innovation: Break free from limitations and experiment with new LLM applications tailored to your specific needs. Solve Real-World Challenges: Utilize the power of LLMs to tackle pressing issues in diverse fields, from healthcare and finance to education and entertainment. Join the Thriving Community: Leverage the collaborative spirit of the Hugging Face community to learn, share, and contribute to the advancement of LLMs. Boost Your Career: Stand out from the crowd with in-demand LLM expertise, propelling your career trajectory to new heights. Ready to Embark on Your LLM Odyssey? Don't wait! This book is your passport to the realm of advanced LLMs. With each chapter, you'll gain the knowledge, tools, and confidence to build groundbreaking applications and revolutionize the way we interact with language. Embrace the future of NLP. Start your journey today.