Gradio 3.0 is Out!
Machine Learning Demos Machine learning demos are an increasingly vital part of releasing a model. Demos allow anyone — not just ML engineers — to try out a model in the browser, give feedback on predictions, and build trust in the
Read moreAnnouncing the Hugging Face Fellowship Program
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
Read moreMachine Learning Experts – Sasha Luccioni
🚀 If you’re interested in learning how ML Experts, like Sasha, can help accelerate your ML roadmap visit: hf.co/support. Hey friends! Welcome to Machine Learning Experts. I’m your host, Britney Muller and today’s guest is Sasha Luccioni. Sasha is a Research Scientist at Hugging Face where she works on the ethical and societal impacts of Machine Learning models and
Read moreAn Introduction to Q-Learning Part 1
⚠️ A new updated version of this article is available here 👉 https://huggingface.co/deep-rl-course/unit1/introduction This article is part of the Deep Reinforcement Learning Class. A free course from beginner to expert. Check the syllabus here. ⚠️ A new updated version of this article is available here 👉 https://huggingface.co/deep-rl-course/unit1/introduction This article is part of the Deep Reinforcement Learning Class.
Read morePutting ethical principles at the core of the research lifecycle
Purpose of the ethical charter It has been well documented that machine learning research and applications can potentially lead to “data privacy issues, algorithmic biases, automation risks and malicious uses” (NeurIPS 2021 ethics guidelines). The purpose of this short document is to formalize the ethical principles that we (the multimodal learning group at Hugging Face) adopt for the project we are pursuing. By defining these ethical principles at the beginning of the project, we make them
Read moreIntroducing Pull Requests and Discussions 🥳
We are thrilled to announce the release of our latest collaborative features: pull requests and discussions on the Hugging Face Hub! Pull requests and discussions are available today under the community tab for all repository types: models, datasets, and Spaces. Any member of the community can create and participate in
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