I am working on a project for the Pytorch/HF OpenEnv challenge, and part of the challenge is that a participant/team needs to write a blog post (an Article) on HuggingFace about their submission. However, when I try to create an Article, it says I need a "pro" account.. but I already am a HF Pro member and have been for almost a year!
Is anyone else having this issue? I have a bunch of ideas for blog posts/articles so I'd really like to be able to access this feature, even outside of the OpenEnv Challenge. Can someone let me know if there's a way to fix this or something I'm missing?
Smol course has a distinctive approach to teaching post-training, so I'm posting about how it’s different to other post-training courses, including the llm course that’s already available.
In short, the smol course is just more direct that any of the other course, and intended for semi-pro post trainers.
- It’s a minimal set of instructions on the core parts. - It’s intended to bootstrap real projects you're working on. - The material handsover to existing documentation for details - Likewise, it handsover to the LLM course for basics. - Assessment is based on a leaderboard, without reading all the material.
The course builds on smol course v1 which was the fastest way to learn to train your custom AI models. It now has:
- A leaderboard for students to submit models to - Certification based on exams and leaderboards - Prizes based on Leaderboards - Up to date content on TRL and SmolLM3 - Deep integration with the Hub’s compute for model training and evaluation
We will release chapters every few weeks, so you can follow the org to stay updated.
The open source AI community is just made of people who are passionate and care about their work. So we thought it would be cool to share our favourite icons of the community with a fun award.
Winners get free Hugging Face Pro Subscriptions, Merchandise, or compute credits for the hub.
This is a new initiative to recognise and celebrate the incredible work being done by community members. It's all about inspiring more collaboration and innovation in the world of machine learning and AI.
They're highlighting contributors in four key areas: - model creators: building and sharing innovative and state-of-the-art models. - educators: sharing knowledge through posts, articles, demos, and events. - tool builders: creating the libraries, frameworks, and applications that we all use. - community champions: supporting and mentoring others in forums.
Know someone who deserves recognition? Nominate them by opening a post in the Hugging Face community forum.