Hugging Face in Action by Wei-Meng Lee (.PDF)

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File Size: 68 MB

Hugging Face in Action by Wei-Meng Lee (Final Release)
Requirements: .PDF reader, 68 mb | True PDF
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 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.
Genre: Non-Fiction > Tech & Devices

Free Download links:

https://rapidgator.net/file/549d95a26ada341b39b84eb9f1cadd43/Hugging_Face_in_Action.pdf.html