Welcome fastai to the Hugging Face Hub

Making neural nets uncool again... and sharing them

Few have done as much as the fast.ai ecosystem to make Deep Learning accessible. Our mission at Hugging Face is to democratize good Machine Learning. Let's make exclusivity in access to Machine Learning, including pre-trained models, a thing of the past and let's push this amazing field even further.

fastai is an open-source Deep Learning library that leverages PyTorch and Python to provide high-level components to train fast and accurate neural networks with state-of-the-art outputs on text, vision, and tabular data. However, fast.ai, the company, is more than just a library; it has grown into a thriving ecosystem of open source contributors and people learning about neural networks. As some examples, check out their book and courses. Join the fast.ai Discord and forums. It is a guarantee that you will learn by being part of their community!

Because of all this, and more (the writer of this post started his journey thanks to the fast.ai course), we are proud to announce that fastai practitioners can now share and upload models to Hugging Face Hub with a single line of Python.

👉 In this post, we will introduce the integration between fastai and the Hub. Additionally, you can open this tutorial as a Colab notebook.

We want to thank the fast.ai community, notably Jeremy Howard, Wayde Gilliam, and Zach Mueller for their feedback 🤗. This blog is heavily inspired by the Hugging Face Hub section in the fastai docs.

Why share to the Hub?

The Hub is a central platform where anyone can share and explore models, datasets, and ML demos. It has the most extensive collection of Open Source models, datasets, and demos.

Sharing on the Hub amplifies the impact of your fastai models by making them available for others to download and explore. You can also use transfer learning with fastai models; load someone else's model as the basis for your task.

Joining Hugging Face and installation

pip install huggingface_hub["fastai"]

It works 👇!