Hugging Face

‌Hugging Face (Twitter) RT @ariG23498: The new kid in the blog for experiment tracking is trackio. And here you have @abidlabs talk about it. https://www.youtube.com/watch?v=BdS8FgBqNOM?si=bbrQ89X7677rontC

Hugging Face (Twitter) RT @Xianbao_QIAN: WAN 2.2 animate model & demo is now officially released on @huggingface

Hugging Face (Twitter) RT @DecartAI: We are building “Open Source Nano Banana for Video” - here is open source demo v0.1 We are open sourcing Lucy Edit, the first foundation model for text-guided video editing! Get the model on @huggingface🤗, API on @FAL, and nodes on @ComfyUI🧵

Hugging Face (Twitter) RT @bfl_ml: FLUX.1 Kontext [dev] Hackathon is live! $10K+ in prizes, open worldwide. 7 days to experiment and surprise us. Create LoRAs, build workflows, or try something totally unexpected. Run it locally or through our partners @NVIDIA_AI_PC@fal@huggingface Registration link below 👇

Hugging Face (Twitter) RT @Xianbao_QIAN: @AntLingAGI Ling-Flash-2.0 from Ant Finance just dropped on @huggingface - 100B MoE, 6.1B active (4.8B non-embedding) - 128k context length - Trained on 20T+ tokens - Base model available too - Great performance on reasoning tasks - MIT license

Hugging Face (Twitter) RT @dylan_ebert_: I made a game engine for vibe coding

Hugging Face (Twitter) RT @ClementDelangue: Unitree first open-source world-model on @huggingface! UnifoLM-WMA-0 is Unitree‘s first open-source world-model–action architecture spanning multiple types of robotic embodiments, designed specifically for general-purpose robot learning. Its core component is a world-model capable of understanding the physical interactions between robots and the environments. This world-model provides two key functions: (a) Simulation Engine – operates as an interactive simulator to generate synthetic data for robot learning; (b) Policy Enhancement – connects with an action head and, by predicting future interaction processes with the world-model, further optimizes decision-making performance. Link to the model: https://huggingface.co/unitreerobotics/UnifoLM-WMA-0

Hugging Face (Twitter) RT @Tu7uruu: 🚀 New dataset drop for speech & NLP folks! OleSpeech-IV-2025-EN-AR-100 (100h) 🎤 Real, unprompted English convos 🗂️ Human transcripts + speaker turns 🔎 Overlaps & timestamps included 📂 Raw, uncompressed audio Perfect for ASR, diarization & convo modeling 👌

Hugging Face (Twitter) RT @mervenoyann: after last time I have asked this question, we listened to you and shipped a ton of this so there it goes: what can we improve to make it easier to build with @huggingface Hub and open-source libraries? ✨ your opinions matter a ton!

Hugging Face (Twitter) RT @mshuaibii: Excited to present the FAIR Chemistry Leaderboard - a centralized space for our team’s community benchmark efforts. We’re kicking things off today with the OMol25 leaderboard! 📊Leaderboard: https://huggingface.co/spaces/facebook/fairchem_leaderboard 🖥️Code: https://github.com/facebookresearch/fairchem

Hugging Face (Twitter) RT @Weyaxi: The @huggingface followers leaderboard is BACK after a month 🚀 Top users: 1. @TheBlokeAI 2. @lvminzhang 3. @mervenoyann 4. @bartowski1182 5. @akhaliq 6. @ylecun 7. @fffiloni 8. @xenovacom 9. @Teknium1 10. @maximelabonne 11. @TheEricHartford Fixed thanks to @charlesbben🙌

‌Hugging Face (Twitter) RT @_fracapuano: We're releasing an updated dataset format for @LeRobotHF, and it is built for scale. LeRobotDataset:v3 supports multi-million episode datasets and streaming, enabling better performance across the board Learn more: