What is Hugging Face? The ML Platform For Building AI-Powered Apps

Profile Picture of Nicolas Azevedo
Nicolas Azevedo
Data Scientist and Machine Learning Engineer
A developer sitting next to the Hugging Face logo
Originally published on Jun 20, 2024Last updated on Jul 3, 2024

Key Takeaways

What is Hugging Face used for?

Hugging Face is a powerful platform where ML practitioners share and exchange their work. The tool offers curated data sets, pre-trained ML models, and demo AI-powered apps that can all be accessed through its web-based platform.

Why is Hugging Face so popular?

Today, it’s a powerful and popular platform where ML practitioners share and exchange their work (and has a valuation of $4.5 billion!) This collaborative environment facilitates the work of developers dealing with language data, making the development process simpler, faster, and more accessible for all.

Hugging Face is popular mainly because of the “Hugging Face hub,” which provides AI/ML researchers with access to thousands of curated datasets, machine learning models, and AI-powered demo apps. This collaborative platform enables researchers, developers, and enthusiasts to explore and experiment with a diverse range of ML models, accelerating innovation and knowledge sharing in the field.

Is Hugging Face free or paid?

Hugging Face offers various services and tools, some of them are free while others are paid. Here's a general overview. You can access unlimited models, datasets, and spaces; create unlimited orgs and private repos; and access the latest machine learning tools for free. Suppose you want to become a premium user. In that case, you can get early access to upcoming features, use the inference API at a higher rate, and in general the price becomes higher when it comes to companies; for companies, the features include priority support, custom solutions, deployment of the Inference API in the infrastructure of your preference, SSO and SAML support, and some other features.

What exactly does Hugging Face do?

There are three key features Hugging Face offers that simplify the process of working with ML data: Datasets, Models, and Spaces. Each of them are hosted on the Hugging Face Hub as Git repositories. This centralized hub ensures easy access and seamless integration into your workflow, allowing you to focus on building innovative ML solutions without the hassle of managing multiple platforms. 

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