Hugging Face

Are current open OCR models good enough to unlock historical knowledge? Daniel van Strien and I have been working on this question for the last few months — and today we are proud to introduce FineBooks, a new collaboration between Hugging Face and EleutherAI. Our first release is the BHL OCR Leaderboard: 14 open OCR models scored against 2,165 historical book pages transcribed by expert researchers from six volumes of the Biodiversity Heritage Library — in English, French, German and Latin. https://lnkd.in/eguACYSR The ground truth behind the leaderboard was produced in 2011–12 by the IMPACT project and BHL-Europe, released under CC-BY, and preserved by IMPACT's technical manager Clemens Neudecker on Github after both projects ended. This is what open science is all about: releasing your data openly so that down the line someone can re-use it for purposes you never planned for. Exactly the same open science and open data philosophy is at the core of FineBooks. The next step: we'll re-run OCR across the roughly 200,000 public domain volumes from the BHL and release the improved text openly as the first FineBooks dataset.

Meta released Muse Glimmer 30B: multimodal model for your Claw/Pi setups 🔥 we tested and fine-tuned the model for you, and shipped day-0 support in transformers and llama.cpp, including DFlash for 2-4x speed-ups 🥵 read our blog https://lnkd.in/dCzPcyhz

Training Agents with RL takes datasets, environments, training frameworks, and models. All of those are built and maintained (best) by the open source community. We held our first RL meetup at the @reflection office in SF this week alongside builders from Databricks, Hugging Face, Reflection, NVIDIA, Meta, Prime Intellect, Fleet, Modal, Mercor, and more. We focused on how we build and integrate high quality Rl Environments, with two topics: - Zach Wentz (Reflection) auto-validating agentic environment with scalability and security - Adithya S Kolavi (Hugging Face) on using OpenEnv as a runtime on top of Harbor in training, including multi-harness setups (a la Kimi K3) Beyond the talks, RL practitioners shared what they're seeing across the ecosystem, and several new RFCs came directly out of the room. That's what happens when you get this much diversity of thinking in one place. For context: We started OpenEnv back at Meta in partnership with Hugging Face and Unsloth and launched it at the PyTorch Conference last October. The vision was simple: build a lingua franca for RL environments, and the whole ecosystem builds to one interface so models generalize faster. Monday was the first time I saw that vision sitting in a single room and I’m excited for many more.. Here is the OpenEnv Repo if you’d like to contribute 👉 https://lnkd.in/g8_HK3H6 Cheers! P.S.  A special shout out to Zach Wentz and Adithya S Kolavi for giving amazing talks, Ben Burtenshaw for co-organizing and Becca Schwabe, Angie Ruiz-Mitchell and Helen T. for all of your support to make this happen. Cheers!

Baseten is now an official inference provider on Hugging Face! 🤗 Run Kimi K3, DeepSeek V4 Flash, and GLM-5.2 on Baseten straight from any model page, or with just your HF token in your favorite harness.

We're working with the Open Secure Alliance on guidelines for incident learning, to collectively develop better review, disclosure, and controls of and for security incidents.

The ET-CORE model-to-silicon Hackathon by AIFoundry.org, Hugging Face and OpenHW Foundation is over 🎉 🎉 🎉 The winners are announced and the leaderboard is closed, models ported, kernels fused, up to 90x improvements! 🚀🚀 🚀 But it shouldn't feel sad as what is left is the best community ever and we keep the access to the HW so that people can continue exploration (it's never to late to join!) What started as a write up of a competition ended as a script of a thrilling yet heartwarming chapter for the community. Thank you for all the people who made it feel so awesome - the organizers, the winners, the participants: Afonso Oliveira, Roman Shaposhnik, Eric Hallahan, Ben Burtenshaw,Thea Clay, Marin Radic, Ryan Gurganious, Malaika Noor, Rehan Qasim and many others who I don't know the real names 😅