1 Introduction to Hugging Face
This chapter covers
- What Hugging Face is known for
- Introduction to the Hugging Face Transformer library
- Exploring the various models hosted by Hugging Face and the things you can do with them
- Introduction to the Gradio library and how to use it to bind a Web UI with your machine learning model
- Introduction to AutoTrain and how to use it to automatically create training models using your own dataset
Hugging Face is an AI community that promotes the building, training, and deployment of open-source machine learning models. It has state-of-the-art models designed for different problem domains, such as: Natural Language Processing (NLP) tasks, Computer vision tasks, and Audio tasks. Besides providing tools for machine learning, Hugging Face also provides a platform for hosting pre-trained models and datasets. With AI so popular now, Hugging Face is right at the epicenter of the whole AI revolution: