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Pag. 6 di 85 · 1,011 post
Pubblicato 28 gen
Hugging Face (Twitter) RT @halcyonrayes: 🤖 sam-3d-objects from @AIatMeta and trellis.2-4b from @Microsoft now exist on 3d-arena by @huggingface, one of the best benchmarks out there to compare object model generation quality! both releases were two of the most impactful 3d-generation models to come in recent times! go out and vote on your favourite 3d models at the link below. delicious and exciting stuff coming up for 3d generation!
Pubblicato 28 gen
Hugging Face (Twitter) RT @latkins: Today, we are releasing our first weights from Trinity-Large, our first frontier-scale model in the Trinity MoE family. American Made. - Trinity-Large-Preview (instruct) - Trinity-Large-Base (pretrain checkpoint) - Trinity-Large-TrueBase (10T pre Instruct data/anneal)
Pubblicato 28 gen
Hugging Face (Twitter) RT @tbpn: BREAKING: Hugging Face CEO @ClementDelangue and his wife have welcomed twin daughters 🤗🤗
Pubblicato 27 gen
Hugging Face (Twitter) RT @allen_ai: Introducing Ai2 Open Coding Agents—starting with SERA, our first-ever coding models. Fast, accessible agents (8B–32B) that adapt to any repo, including private codebases. Train a powerful specialized agent for as little as ~$400, & it works with Claude Code out of the box. 🧵
Pubblicato 27 gen
Hugging Face (Twitter) RT @Xianbao_QIAN: Super excited to see the new Kimi K2.5 model released, with the usual congratulations from @Hailuo_AI - Continuous pretrained on 15T visual & text token on top of Kimi K2 - Multimodal model with both image and *video* understanding - Interleaved Thinking and Multi-Step Tool Call - Both instant mode and thinking mode available with one config flip - Parallel sub-task support https://twitter.com/Kimi_Moonshot/status/2016024049869324599#m
Pubblicato 27 gen
Hugging Face (Twitter) RT @RisingSayak: Meet, greet, and grill @ariG23498 and me at the @PyTorch Day India, happening on 7th Feb, 2026, Bangalore. It will be a technical talk -- just in case the title didn't suggest that already. See you there.
Pubblicato 26 gen
Hugging Face (Twitter) RT @allen_ai: Molmo 2 (8B) is now available via @huggingface Inference Providers, courtesy of Public AI. State-of-the-art video understanding with pointing, counting, & multi-frame reasoning. Track objects through scenes and identify where + when events occur. 🧵
Pubblicato 26 gen
Hugging Face (Twitter) RT @vanstriendaniel: Want $20 to try GLM-4.7-Flash? Join toad-hf-inference-explorers on @huggingface - $20 free to run open models via Inference Providers. GLM, DeepSeek, Qwen and 100s more. Only 85 people have claimed it so far 🤷 http://huggingface.co/toad-hf-inference-explorers
Pubblicato 26 gen
Hugging Face (Twitter) RT @LysandreJik: Transformers v5's FINAL, stable release is out 🔥 Transformers' biggest release. The big Ws of this release: - Performance, especially for MoE (6x-11x speedups) - No more slow/fast tokenizers -> way simpler API, explicit backends, better performance - dynamic weight loading: way faster, and enabling: MoE now working w/ {quants, tp, peft, ...} We have a migration guide on the main branch; please take a look at it in case you run into issues. Come in our GH issues if you still do after reading it 😀
Pubblicato 26 gen
Hugging Face (Twitter) RT @nvidianewsroom: 🌍 Weather forecasting has always relied on powerful supercomputers running physics-based models. We are proud to announce the NVIDIA Earth-2 family of open models — the world’s first fully open, accelerated AI weather stack — saving computational time and costs, and enabling more nations, enterprises, and businesses to run application-specific forecasting systems. Weather AI is now accessible worldwide at every stage. #AMS2026 Read more: nvda.ws/4sWQ2B4
Pubblicato 23 gen
Hugging Face (Twitter) RT @overworld_ai: Step in, move around, and see the world update as you act. We’ve put up a live Hugging Face demo of our real-time world model so you can check it out.
Pubblicato 23 gen
Hugging Face (Twitter) RT @ltx_model: 2,000,000 @huggingface downloads! LTX-2 reached this milestone the way we believe it should. Built in the open, shaped by real-world use, and driven by the community. Thank you to everyone experimenting, building, and pushing it forward. Looking ahead to what’s next.