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Hugging Face - Blog

Waypoint-1.5: Higher-Fidelity Interactive Worlds for Everyday GPUs ALTK‑Evolve: On‑the‑Job Learning for AI Agents Safetensors is Joining the PyTorch Foundation Holo3: Breaking the Computer Use Frontier Any Custom Frontend with Gradio's Backend A New Framework for Evaluating Voice Agents (EVA) Bringing Robotics AI to Embedded Platforms: Dataset Recording, VLA Fine‑Tuning, and On‑Device Optimizations One-Shot Any Web App with Gradio's gr.HTML CUGA on Hugging Face: Democratizing Configurable AI Agents New in llama.cpp: Model Management Building Deep Research: How we Achieved State of the Art OVHcloud on Hugging Face Inference Providers 🔥 20x Faster TRL Fine-tuning with RapidFire AI Building for an Open Future - our new partnership with Google Cloud Aligning to What? Rethinking Agent Generalization in MiniMax M2 Building a Healthcare Robot from Simulation to Deployment with NVIDIA Isaac Sentence Transformers is joining Hugging Face! Unlock the power of images with AI Sheets Supercharge your OCR Pipelines with Open Models Google Cloud C4 Brings a 70% TCO improvement on GPT OSS with Intel and Hugging Face Get your VLM running in 3 simple steps on Intel CPUs Nemotron-Personas-India: Synthesized Data for Sovereign AI Introducing RTEB: A New Standard for Retrieval Evaluation Accelerating Qwen3-8B Agent on Intel® Core™ Ultra with Depth-Pruned Draft Models VibeGame: Exploring Vibe Coding Games Nemotron-Personas-Japan: ソブリン AI のための合成データセット Swift Transformers Reaches 1.0 – and Looks to the Future Smol2Operator: Post-Training GUI Agents for Computer Use SyGra: The One-Stop Framework for Building Data for LLMs and SLMs Gaia2 and ARE: Empowering the community to study agents Scaleway on Hugging Face Inference Providers 🔥 Democratizing AI Safety with RiskRubric.ai Public AI on Hugging Face Inference Providers 🔥 `LeRobotDataset:v3.0`: Bringing large-scale datasets to `lerobot` Visible Watermarking with Gradio Introducing the Palmyra-mini family: Powerful, lightweight, and ready to reason! Tricks from OpenAI gpt-oss YOU 🫵 can use with transformers Fine-tune Any LLM from the Hugging Face Hub with Together AI Jupyter Agents: training LLMs to reason with notebooks mmBERT: ModernBERT goes Multilingual Welcome EmbeddingGemma, Google's new efficient embedding model SAIR: Accelerating Pharma R&D with AI-Powered Structural Intelligence Make your ZeroGPU Spaces go brrr with ahead-of-time compilation NVIDIA Releases 6 Million Multi-Lingual Reasoning Dataset Generate Images with Claude and Hugging Face From Zero to GPU: A Guide to Building and Scaling Production-Ready CUDA Kernels MCP for Research: How to Connect AI to Research Tools Kimina-Prover-RL Arm & ExecuTorch 0.7: Bringing Generative AI to the masses Neural Super Sampling is here! TextQuests: How Good are LLMs at Text-Based Video Games? 🇵🇭 FilBench - Can LLMs Understand and Generate Filipino? Introducing AI Sheets: a tool to work with datasets using open AI models! Accelerate ND-Parallel: A guide to Efficient Multi-GPU Training Vision Language Model Alignment in TRL ⚡️ Welcome GPT OSS, the new open-source model family from OpenAI! Measuring Open-Source Llama Nemotron Models on DeepResearch Bench 📚 3LM: A Benchmark for Arabic LLMs in STEM and Code Implementing MCP Servers in Python: An AI Shopping Assistant with Gradio Introducing Trackio: A Lightweight Experiment Tracking Library from Hugging Face Say hello to `hf`: a faster, friendlier Hugging Face CLI ✨ Parquet Content-Defined Chunking TimeScope: How Long Can Your Video Large Multimodal Model Go? Fast LoRA inference for Flux with Diffusers and PEFT Accelerate a World of LLMs on Hugging Face with NVIDIA NIM Arc Virtual Cell Challenge: A Primer Consilium: When Multiple LLMs Collaborate Back to The Future: Evaluating AI Agents on Predicting Future Events Five Big Improvements to Gradio MCP Servers Ettin Suite: SoTA Paired Encoders and Decoders Migrating the Hub from Git LFS to Xet Kimina-Prover: Applying Test-time RL Search on Large Formal Reasoning Models Asynchronous Robot Inference: Decoupling Action Prediction and Execution ScreenEnv: Deploy your full stack Desktop Agent Building the Hugging Face MCP Server Reachy Mini - The Open-Source Robot for Today's and Tomorrow's AI Builders Creating custom kernels for the AMD MI300 Upskill your LLMs With Gradio MCP Servers SmolLM3: smol, multilingual, long-context reasoner Three Mighty Alerts Supporting Hugging Face’s Production Infrastructure Efficient MultiModal Data Pipeline Announcing NeurIPS 2025 E2LM Competition: Early Training Evaluation of Language Models Training and Finetuning Sparse Embedding Models with Sentence Transformers Welcome the NVIDIA Llama Nemotron Nano VLM to Hugging Face Hub Gemma 3n fully available in the open-source ecosystem! Transformers backend integration in SGLang (LoRA) Fine-Tuning FLUX.1-dev on Consumer Hardware Groq on Hugging Face Inference Providers 🔥 How Long Prompts Block Other Requests - Optimizing LLM Performance Learn the Hugging Face Kernel Hub in 5 Minutes Convert Transformers to ONNX with Hugging Face Optimum Intel and Hugging Face Partner to Democratize Machine Learning Hardware Acceleration Director of Machine Learning Insights [Part 3: Finance Edition] The Annotated Diffusion Model Deep Q-Learning with Space Invaders Graphcore and Hugging Face Launch New Lineup of IPU-Ready Transformers Introducing Pull Requests and Discussions 🥳 Efficient Table Pre-training without Real Data: An Introduction to TAPEX An Introduction to Q-Learning Part 2/2 How Sempre Health is leveraging the Expert Acceleration Program to accelerate their ML roadmap
We Raised $100 Million for Open & Collaborative Machine Learning 🚀
2022-05-09 · via Hugging Face - Blog

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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.

Series C

We've come a long way since we first open sourced PyTorch BERT in 2018 and are just getting started! 🙌

Machine learning is becoming the default way to build technology. When you think about your average day, machine learning is everywhere: from your Zoom background, to searching on Google, to ordering an Uber or writing an email with auto-complete --it's all machine learning.

Hugging Face is now the fastest growing community & most used platform for machine learning! With 100,000 pre-trained models & 10,000 datasets hosted on the platform for NLP, computer vision, speech, time-series, biology, reinforcement learning, chemistry and more, the Hugging Face Hub has become the Home of Machine Learning to create, collaborate, and deploy state-of-the-art models.

The Home of Machine Learning

Over 10,000 companies are now using Hugging Face to build technology with machine learning. Their Machine Learning scientists, Data scientists and Machine Learning engineers have saved countless hours while accelerating their machine learning roadmaps with the help of our products and services.

We want to have a positive impact on the AI field. We think the direction of more responsible AI is through openly sharing models, datasets, training procedures, evaluation metrics and working together to solve issues. We believe open source and open science bring trust, robustness, reproducibility, and continuous innovation. With this in mind, we are leading BigScience, a collaborative workshop around the study and creation of very large language models gathering more than 1,000 researchers of all backgrounds and disciplines. We are now training the world's largest open source multilingual language model 🌸

⚠️ But there’s still a huge amount of work left to do.

At Hugging Face, we know that Machine Learning has some important limitations and challenges that need to be tackled now like biases, privacy, and energy consumption. With openness, transparency & collaboration, we can foster responsible & inclusive progress, understanding & accountability to mitigate these challenges.

Thanks to the new funding, we’ll be doubling down on research, open-source, products and responsible democratization of AI.

The Home of Machine Learning

It's been a hell of a ride to grow from 30 to 120+ team members in the past 12 months. We were super lucky to have been joined by incredibly talented (and fun!) teammates like Dr. Margaret Mitchell and the Gradio team, and we don't plan to stop here. We're hiring for every position you can think of for every level of seniority. We are a remote-friendly, decentralized organization with transparency and value-inspired decision making by default.

Huge thanks to every contributor in our amazing community and team, our customers, partners, and investors for helping us reach this point. We couldn't have done it without you, and we can't wait to work together with you on what's next. Your contributions are key to helping build a better future where AI is founded on open source, open science, ethics and collaboration.


For press inquiries, please contact team@huggingface.co