Hugging Face in Action (MEAP V5) by Wei-Meng Lee (.ePUB)
File Size: 69.2 MB
Hugging Face in Action (MEAP V5) by Wei-Meng Lee
Requirements: .ePUB reader, 69.2 MB
Overview: Everything you need to know about using the tools, libraries, and models at Hugging Face—from transformers, to RAG, LangChain, and Gradio. 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 (NLP) to computer vision. Plus, you’ll find a popular platform for hosting your models and datasets. 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. Hugging Face in Action provides in-depth hands-on tutorials that will help you take advantage of all that Hugging Face offers for AI developers. You’ll build multiple different AI projects—including an object detection model, RAG applications that can answer questions based on local datasets, chatbots with web frontends, and even code-free Machine Learning models built with AutoTrain. Each chapter is full of step-by-step instructions and clear tips and advice. You’ll soon be productive and proficient with all of Hugging Face’s tools, pretrained models, and datasets! For Python programmers familiar with NumPy and Pandas. No previous experience of Machine Learning required!
Genre: Non-Fiction > Tech & Devices
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