chapter one
This chapter covers
- What Hugging Face is known for
- The Hugging Face Transformers library
- The various models hosted by Hugging Face
- The Gradio library
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 provides a platform for hosting pretrained models and datasets. With AI at its peak, Hugging Face is at the epicenter of the AI revolution because
- It unleashes a new wave of applications that capitalizes on the large amount of data available.
- Many complementary technologies are being developed, such as prototyping tools for large learning model (LLM)–based applications.
- Instead of focusing on the fundamentals (such as building neural networks from scratch or learning machine learning algorithms), developers can focus on building AI-based apps to solve their problems immediately. AI is now a tool that developers can use directly rather than having to build it from scratch.
- Hugging Face’s philosophy is to promote open source contributions. It is the hub of open source models for NLP, computer vision, and other fields in which AI plays vital roles.