Lee W. Hugging Face in Action 2025 torrent

Textbook in PDF format

Everything you need to know about using the tools, libraries, and models at Hugging Face—from transformers, to RAG, LangChain, and Gradio.
Hugging Face in Action reveals how to get the absolute best out of everything Hugging Face, from accessing state-of-the-art models to building intuitive frontends for AI apps.
With Hugging Face in Action you’ll learn:
Utilizing Hugging Face Transformers and Pipelines for NLP tasks
Applying Hugging Face techniques for Computer Vision projects
Manipulating Hugging Face Datasets for efficient data handling
Training Machine Learning models with AutoTrain functionality
Implementing AI agents for autonomous task execution
Developing LLM-based applications using LangChain and LlamaIndex
Constructing LangChain applications visually with LangFlow
Creating web-based user interfaces using Gradio
Building locally running LLM-based applications with GPT4ALL
Querying local data using Large Language Models
Want a cutting edge transformer library? Hugging Face’s open source offering is best in class. Need somewhere to host your models? Hugging Face Spaces has you covered. Do your users need an intuitive frontend for your AI app? Hugging Face’s Gradio library makes it easy to build UI using the Python skills you already have. In Hugging Face in Action you’ll learn how to take full advantage of all of Hugging Face’s amazing features to quickly and reliably prototype and productionize AI applications