Today we have some exciting news to share! Hugging Face has raised $100 Million in Series C funding 🔥🔥🔥 led by Lux Capital with major participations from Sequoia, Coatue and support of existing investors Addition, a_capital, SV Angel, Betaworks, AIX Ventures, Kevin Durant, Rich Kleiman from Thirty Five Ventures, Olivier Pomel (co-founder & CEO at Datadog) and more.

Inference has landed in Optimum with support for Hugging Face Transformers pipelines, including text-generation using ONNX Runtime. The adoption of BERT and Transformers continues to grow. Transformer-based models are now not only achieving state-of-the-art performance in Natural Language Processing but also for Computer Vision, Speech, and Time-Series. 💬 🖼 🎤 ⏳ Companies are now moving from the experimentation and research    

As an open-source company democratizing machine learning, Hugging Face believes it is essential to teach open-source ML to people from all backgrounds worldwide. We aim to teach machine learning to 5 million people by 2023. Are you studying machine learning and/or already evangelizing your community with ML? Do you want to be a part of our ML democratization efforts and show your    

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    

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    

🚀 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    

⚠️ 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.    

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