Hugging Face

Hugging Face (Twitter) RT @HKydlicek: We’re releasing the full FinePdfs source code — plus new datasets and models! 🚀 📚 Datasets: • OCR-Annotations — 1.6k PDFs labeled for OCR need • Gemma-LID-Annotation — 20k samples per language (annotated with Gemma3-27B) 🤖 Models: • XGB-OCR — OCR classifier for PDFs

‌Hugging Face (Twitter) RT @AdinaYakup: DeepSeek-OCR is out 🔥 https://huggingface.co/deepseek-ai/DeepSeek-OCR ✨High-accuracy OCR - MIT license ✨Fast GPU inference (FlashAttention 2, BF16) ✨Docs > Markdown ✨Works with transformers

‌Hugging Face (Twitter) RT @krea_ai: you can downloads the weights now from HuggingFace with Apache-2.0 license. https://huggingface.co/krea/krea-realtime-video

Hugging Face (Twitter) RT @_akhaliq: DeepSeek-OCR Contexts Optical Compression

Hugging Face (Twitter) RT @xeophon_: new whale dropped https://twitter.com/xeophon_/status/1980140081290555726#m

Hugging Face (Twitter) RT @ClementDelangue: I’m sure every founder believes their company is unique. But @huggingface does feel like a true “n of 1”. Is that founder bias, or fact?

‌Hugging Face (Twitter) RT @reach_vb: Letsss gooo! DeepSeek just released a 3B OCR model on Hugging Face 🔥 Optimised to be token efficient AND scale ~200K+ pages/day on A100-40G Same arch as DeepSeek VL2 Use it with Transformers, vLLM and more 🤗 https://huggingface.co/deepseek-ai/DeepSeek-OCR

Hugging Face (Twitter) RT @alex_prompter: 🚨 Hugging Face & Oxford just dropped the playbook for robot intelligence. It’s called LeRobot, and it’s basically the “PyTorch of robotics.” End-to-end code. Real hardware. Generalist robot policies. All open source. Here’s why this is huge: • Robots can now learn from data like LLMs not just follow equations. • They’re training on massive multimodal datasets (video + sensors + text). • One model can control many robots from humanoids to arms to mobile bots. • Built entirely in PyTorch + Hugging Face Hub. We’ve had “foundation models” for text, code, and images. Now comes the foundation model for motion. This isn’t just robotics research it’s the beginning of robots that learn, reason, and adapt in the real world. GitHub: github. com/huggingface/lerobot Paper: arxiv. org/abs/2510.12403

Hugging Face (Twitter) RT @ClementDelangue: Btw the model router is the amazing open model Arch-Router-1.5B by @katanemo_@salman_paracha: https://huggingface.co/katanemo/Arch-Router-1.5Bhttps://twitter.com/ClementDelangue/status/1979230512343585279#m

Hugging Face (Twitter) RT @ClementDelangue: I love the diversity of trending open datasets these days. There’s no excuse anymore not to train your own models! - Fineweb and a shuffle of it by @karpathy - Webscale-RL, a large-scale reinforcement learning dataset from @salesforce - SVQ, an audio dataset from @Google - Awesome chatgpt prompts with almost 10,000 likes by @fkadev - A subset of the Math dataset by @DanHendrycks - Nemotron personas by @nvidia - An arabic dataset by @rightnowai_co - A curated dataset of 1.5M+ @github repositories - Toucan-1.5M, the largest fully synthetic tool-agent dataset - A scientific paper dataset from @arxiv - A cybersecurity dataset from @NIST by @ethanolivertroy These are just the current trending amongst over half a million public datasets on @huggingface! hf.co/datasets

‌Hugging Face (Twitter) RT @interconnectsai: Latest open models (#15): It’s Qwen's world and we get to live in it, on CAISI's report, & GPT-OSS update After a quiet month, Qwen is back in full force. https://www.interconnects.ai/p/latest-open-models-15-its-qwens-world

‌Hugging Face (Twitter) RT @natolambert: Another roundup of the latest models with @xeophon_ ! Fun parts: 1. Methods for accurately monitoring HF 🤗downloads 2. GPT-OSS is mostly fixed and loved now 3. The perils of hybrid reasoning models 4. The continued degradation of open datasets & usual surprises from China