Hugging Face in Action by Wei-Meng Lee

Regular price
Checking stock...
Regular price
Checking stock...
Summary

Hugging Face is the ultimate resource for machine learning engineers and AI developers. It provides hundreds of pretrained and open source models for dozens of different domains—from natural language processing to computer vision. Plus, you’ll find a popular platform for hosting your models and datasets.

The feel-good place to buy books
  • Free US shipping over $15
  • Buying preloved emits 41% less CO2 than new
  • Millions of affordable books
  • Give your books a new home - sell them back to us!

Hugging Face in Action by Wei-Meng Lee

AI libraries evolve weekly and tutorials rarely keep pace. Need a reliable playbook that simply works? Hugging Face in Action turns cutting-edge models into clear, runnable Python projects you can launch today. 

Inside you’ll find: 

  • Utilizing Hugging Face Transformers and Pipelines for NLP tasks: Produce accurate NLP results without deep math or custom training.
  • Applying Hugging Face techniques for Computer Vision projects: Detect objects and classify images using pretrained models that save months. 
  • Manipulating Hugging Face Datasets for efficient data handling: Share data efficiently, eliminating fragile, one-off scripts.
  • Training Machine Learning models with AutoTrain functionality: Train custom models with almost no code, accelerating experiments and proofs of concept. 
  • Autonomous AI agents: Implement AI agents to automate tasks and integrate them into your applications. 
  • Developing LLM-based applications using LangChain and LlamaIndex: Build retrieval-augmented chatbots that answer from your private knowledge bases. 
     

Hugging Face in Action by Wei-Meng Lee delivers a step-by-step, project-based roadmap in print and eBook. Each chapter adds one layer of the modern Hugging Face ecosystem, reinforcing concepts through hands-on builds. 

Clear tips, checklists, and complete code samples help you avoid pitfalls and stay productive. 

You will start with simple text generation and progress to image classification, retrieval-augmented generation (RAG), and autonomous AI agents. Clear tips, checklists, and performance notes help you avoid common pitfalls while staying productive. 

By the end of this book, you will be ready to fine-tune models, manage datasets, and release AI features. Your solutions will remain maintainable as libraries evolve. 

Ideal for Python developers comfortable with NumPy or Pandas who want a fast, practical entry into applied AI.

Wei-Meng Lee is a technologist and educator known for turning emerging technologies into business-ready solutions. With decades of consulting and teaching experience, Wei-Meng distils complex AI workflows into step-by-step guides that help readers deliver value quickly.

SKU Unavailable
ISBN 13 9781633436718
ISBN 10 1633436713
Title Hugging Face in Action
Author Wei-Meng Lee
Series In Action Ser
Condition Unavailable
Binding Type Hardback
Publisher Manning Publications
Year published 2025-11-11
Number of pages 368
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.