The Fellowship is a network of outstanding people from different backgrounds who contribute to the Machine Learning open-source ecosystem 🚀. The goal of this system is to empower key contributors to enable them to scale their impact while inspiring others to contribute as well.
How the Fellowship works 🙌🏻
That is Hugging Face supporting the amazing work of contributors! Being a Fellow works otherwise for everybody. The important thing query here is:
❓ What would contributors must have more impact? How can Hugging Face support them in order that they can do this project they’ve all the time desired to do?
Fellows of all backgrounds are welcome! The progress of Machine Learning depends upon grassroots contributions. All and sundry has a singular set of skills and knowledge that might be used to democratize the sector in quite a lot of ways. Each Fellow achieves impact otherwise and that’s perfect 🌈. Hugging Face supports them to proceed creating and sharing the best way that matches their needs the very best.
What are the advantages of being a part of the Fellowship? 🤩
The advantages might be based on the interests of every individual. Some examples of how Hugging Face supports Fellows:
💾 Computing and resources
🎁 Merchandise and assets.
✨ Official recognition from Hugging Face.
The best way to change into a Fellow
Fellows are currently nominated by members of the Hugging Face team or by one other Fellow. How can prospects get noticed? The important criterion is that they’ve contributed to the democratization of open-source Machine Learning.
How? Within the ways in which they like. Listed here are some examples of the primary Fellows:
- María Grandury – Created the largest Spanish-speaking NLP community and arranged a Hackathon that achieved 23 Spaces, 23 datasets, and 33 models that advanced the SOTA for Spanish (see the Organization within the Hub). 👩🏼🎤
- Manuel Romero – Contributed over 300 models to the Hugging Face Hub. He has trained multiple SOTA models in Spanish. 🤴🏻
- Aritra Roy Gosthipathy: Contributed recent architectures for TensorFlow to the Transformers library, improved Keras tooling, and helped create the Keras working group (for instance, see his Vision Transformers tutorial). 🦹🏻
- Vaibhav Srivastav – Advocacy in the sector of speech. He has led the ML4Audio working group (see the recordings) and paper discussion sessions. 🦹🏻
- Bram Vanroy – Helped many contributors and the Hugging Face team from the start. He has reported several issues and merged pull requests within the Transformers library since September 2019. 🦸🏼
- Christopher Akiki – Contributed to sprints, workshops, Big Science, and funky demos! Try a few of his recent projects like his TF-coder and the income stats explorer. 🦹🏻♀️
- Ceyda Çınarel – Contributed to many successful Hugging Face and Spaces models in various sprints. Try her ButterflyGAN Space or seek for response GIFs with CLIP. 👸🏻
Moreover, there are strategic areas where Hugging Face is searching for open-source contributions. These areas might be added and updated often on the Fellowship Doc with specific projects. Prospects mustn’t hesitate to write down within the #looking-for-collaborators channel within the Hugging Face Discord in the event that they wish to undertake a project in these areas, support or be regarded as a Fellow. Moreover, confer with the Where and the way can I contribute? query below.
In case you are currently a student, consider applying to the Student Ambassador Program. The applying deadline is June 13, 2022.
Hugging Face is actively working to construct a culture that values diversity, equity, and inclusion. Hugging Face intentionally creates a community where people feel respected and supported, no matter who they’re or where they arrive from. That is critical to constructing the longer term of open Machine Learning. The Fellowship is not going to discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Ceaselessly Asked Questions
- I’m just beginning to contribute. Can I be a fellow?
Fellows are nominated based on their open-source and community contributions. If you need to take part in the Fellowship, the very best option to start is to start contributing! In case you are a student, the Student Ambassador Program is likely to be more suitable for you (the applying deadline is June 13, 2022).
- Where and the way can I contribute?
It depends upon your interests. Listed here are some ideas of areas where you’ll be able to contribute, but it is best to work on things that get you excited!
- Share exciting models with the community through the Hub. These might be for Computer Vision, Reinforcement Learning, and every other ML domain!
- Create tutorials and projects using different open-source libraries—for instance, Stable-Baselines 3, fastai, or Keras.
- Organize local sprints to advertise open source Machine Learning in several languages or niches. For instance, the Somos NLP Hackathon focused on Spanish speakers. The HugGAN sprint focused on generative models.
- Translate the Hugging Face Course, the Transformers documentation or the Educational Toolkit.
- Doc with specific projects where contributions could be worthwhile. The Hugging Face team will often update the doc with recent projects.
Please share within the #looking-for-contributors channel on the Hugging Face Discord if you need to work on a selected project.
- Will I be an worker of Hugging Face?
No, the Fellowship doesn’t mean you might be an worker of Hugging Face. Nevertheless, be at liberty to say in any forum, including LinkedIn, that you just are a Hugging Face Fellow. Hugging Face is growing and this might be a superb path for an even bigger relationship in the longer term 😎. Check the Hugging Face job board for updated opportunities.
- Will I receive advantages through the Fellowship?
Yes, the advantages will rely on the actual needs and projects that every Fellow desires to undertake.
No. Admission to this system is ongoing and contingent on the nomination of a current Fellow or member of the Hugging Face team. Please note that being nominated will not be enough to be admitted as a Fellow.
