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Oreilly – Hugging Face in Action, Video Edition 2025-10

Updated August 10, 2026 738 MB
Oreilly – Hugging Face in Action, Video Edition 2025-10

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Description

Hugging Face in Action, Video Edition is a course on using Hugging Face tools and libraries published by Oreilly Online Academy. This course provides a practical and hands-on introduction to using Hugging Face tools and libraries to build real-world AI and natural language processing (NLP) applications. You’ll learn how to work with Transformers, manage datasets, fine-tune pre-trained models, deploy models efficiently, and integrate advanced NLP features into your projects. This video-based format walks you through core workflows such as text classification, summarization, translation, and conversational AI, while also exploring model hubs, pipelines, tokenizers, and responsible AI practices.

Key points include understanding the Hugging Face ecosystem; using Transformers and pipelines for tasks such as text classification, summarization, and translation; Work with datasets and tokenizers; fine-tune pre-trained models for custom applications; use the Hugging Face Hub for model sharing; deploy models in a production environment; integrate responsible AI principles; and build end-to-end NLP systems using practical workflows demonstrated in video lessons. By the end of the course, you will be able to confidently use the Hugging Face ecosystem to develop, optimize, and deploy modern machine learning solutions.

What you will learn in Hugging Face in Action, Video Edition:

  • Using face hug converters and pipelines for NLP tasks
  • Applying face hug techniques to computer vision projects
  • Manipulating face hug datasets for efficient data management
  • Training machine learning models with AutoTrain
  • Implementing AI agents to automate tasks
  • Developing LLM-based applications using LangChain and LlamaIndex
  • Building LangChain applications visually with LangFlow
  • Building web-based user interfaces using Gradio
  • Building LLM-based applications with local execution with GPT4ALL
  • Querying local data using large language models
  • And…

Course specifications

Publisher: Oreilly
Instructors: Wei-Meng Lee
Language: English
Level: Introductory to Advanced
Number of Lessons: 55
Duration: 6 hours and 3 minutes

Course topics

Hugging Face in Action, Video Edition Content Hugging Face in Action, Video Edition Content

Hugging Face in Action, Video Edition Prerequisites

None

Pictures

Hugging Face in Action, Video Edition

Hugging Face in Action, Video Edition introduction video

Installation guide

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English subtitle

Quality: 720p

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738 MB