The Fellowship is a network of exceptional people from different backgrounds who contribute to the Machine Learning open-source ecosystem 🚀. The goal of the program is to empower key contributors to enable them to scale their impact while inspiring others to contribute as well.
This is Hugging Face supporting the amazing work of contributors! Being a Fellow works differently for everyone. The key question here is:
❓ What would contributors need to have more impact? How can Hugging Face support them so they can do that project they have always wanted to do?
Fellows of all backgrounds are welcome! The progress of Machine Learning depends on grassroots contributions. Each person has a unique set of skills and knowledge that can be used to democratize the field in a variety of ways. Each Fellow achieves impact differently and that is perfect 🌈. Hugging Face supports them to continue creating and sharing the way that fits their needs the best.
The benefits will be based on the interests of each individual. Some examples of how Hugging Face supports Fellows:
💾 Computing and resources
🎁 Merchandise and assets.
✨ Official recognition from Hugging Face.
Fellows are currently nominated by members of the Hugging Face team or by another Fellow. How can prospects get noticed? The main criterion is that they have contributed to the democratization of open-source Machine Learning.
How? In the ways that they prefer. Here are some examples of the first Fellows:
Additionally, there are strategic areas where Hugging Face is looking for open-source contributions. These areas will be added and updated frequently on the Fellowship Doc with specific projects. Prospects should not hesitate to write in the #looking-for-collaborators channel in the Hugging Face Discord if they want to undertake a project in these areas, support or be considered as a Fellow. Additionally, refer to the Where and how can I contribute? question below.
If you are currently a student, consider applying to the Student Ambassador Program. The application deadline is June 13, 2022.
Hugging Face is actively working to build a culture that values diversity, equity, and inclusion. Hugging Face intentionally creates a community where people feel respected and supported, regardless of who they are or where they come from. This is critical to building the future of open Machine Learning. The Fellowship will not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Fellows are nominated based on their open-source and community contributions. If you want to participate in the Fellowship, the best way to start is to begin contributing! If you are a student, the Student Ambassador Program might be more suitable for you (the application deadline is June 13, 2022).
It depends on your interests. Here are some ideas of areas where you can contribute, but you should work on things that get you excited!
Please share in the #looking-for-contributors channel on the Hugging Face Discord if you want to work on a particular project.
No, the Fellowship does not mean you are an employee of Hugging Face. However, feel free to mention in any forum, including LinkedIn, that you are a Hugging Face Fellow. Hugging Face is growing and this could be a good path for a bigger relationship in the future 😎. Check the Hugging Face job board for updated opportunities.
Yes, the benefits will depend on the particular needs and projects that each Fellow wants to undertake.
No. Admission to the program is ongoing and contingent on the nomination of a current Fellow or member of the Hugging Face team. Please note that being nominated may not be enough to be admitted as a Fellow.
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