Hugging Face

Hugging Face (Twitter) RT @zRdianjiao: Thanks to the strong support from @huggingface, all implementations of GLM-Image have been merged into the main branches of transformers and diffusers. Everything is ready.

‌Hugging Face (Twitter) RT @GPU_MODE: We have a mini conference lined up for you Wednesday, January 14, 2026 at 9:05 AM on Reinforcement Learning, Agents & OpenEnv with a heavyweight lineup of speakers from @PyTorch@huggingface and @UnslothAI See you tomorrow! https://www.youtube.com/watch?v=jMSCJZAEYR8

‌Hugging Face (Twitter) RT @HaihaoShen: 🚩2-bit MiroThinker-v1.5 is available! @miromind_ai https://huggingface.co/Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound

Hugging Face (Twitter) RT @venturetwins: We have a new open source video model. These clips were all generated with LTX-2 on the creator's local machine 🤯 It can make clips up to 20 seconds at 4K resolution. And it speaks! (created by u/yanokusnir)

Hugging Face (Twitter) RT @scaling01: DeepSeek is back! "Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models" They introduce Engram, a module that adds an O(1) lookup-style memory based on modernized hashed N-gram embeddings Mechanistic analysis suggests Engram reduces the need for early-layer reconstruction of static patterns, making the model effectively "deeper" for the parts that matter (reasoning) Paper: https://github.com/deepseek-ai/Engram/blob/main/Engram_paper.pdf

Hugging Face (Twitter) RT @cgeorgiaw: 2026 will be the year of AI-for-science (and my team at @huggingface is hiring for that!) We laid up the pins in 2025, and now we’re gonna knock them down

‌Hugging Face (Twitter) RT @evalstate: couple of small updates on -- we've got improvements for the new CLI Search tools, standardised on UV for scripts and a little tweak to assist some models that need a bit of help navigation.

Hugging Face (Twitter) RT @JohannesTscharn: AR and Robotics is such an amazing combination The video doesn’t do it justice but interacting natively in 3D space is intuitive and feels natural This is @Spectacles driving a Reachy Mini from @huggingface and @pollenrobotics Thanks again to @SensAIHackademy🙂

Hugging Face (Twitter) RT @Xianbao_QIAN: Want to train your TTS model from scratch with your own cool features? 🎤 Important release for Open-Source SPEECH AI! 🌍 The incredible LEMAS team from IDEA has dropped the dataset they used to train LEMAS, which is also the largest open-source multilingual speech dataset EVER! 150K+ hours across 10 languages with word-level timestamps. They're giving away what most companies would keep locked away forever. 🙏 Two models born from this treasure: • LEMAS-TTS: Zero-shot multilingual synthesis model • LEMAS-Edit: Edit speech like you're editing text!!! Check out this work: Project home: https://lemas-project.github.io/LEMAS-Project/ Dataset & model released on @huggingface : huggingface.co/LEMAS-Project

Hugging Face (Twitter) RT @Xianbao_QIAN: 2025 is a watershed year for open-source AI. 🚀 It started with DeepSeek R1, followed rapidly by Qwen3, Kimi, and also led to a historic milestone: @Zai_org and @MiniMax_AI became the first LLM companies globally to IPO. The ecosystem is thriving beyond just the giants: - Tech & Media: @BaiduResearch, @ByteDanceOSS, @xiaohongshu, @Meituan_LongCat, @ant_oss and @bilibili_en are all making remarkable contributions. - Finance: More AI teams from quantitative trading firms like IQuest are joining the fray. - Multimodal: The trend has expanded beyond text to models like @TencentHunyuan 3D, @SkyReels, @Alibaba_Wan, and @Alibaba_Qwen-image. - Robotics: A huge wave of datasets and models from @XSquareRobot, @UnitreeRobotics, @GalaxeaDynamics, @agibot_research, SpiritAI, and more. - Datasets: Non-profits like @BAAIBeijing, @OpenMMLab, and IDEA continue to pave the way with impactful open-source data. This has been a massive year for the... Перейти на оригинальный пост

Hugging Face (Twitter) RT @evalstate: 🚢Just Shipped -- hackable Agents and Tools for use with Hugging Face Inference Providers. Update HF Inference providers and install them with `/quickstart`. Use `/skills` to install skills from the Hugging Face Skills repo and others. Now is a great time to try Open Weights 💪https://twitter.com/willmcgugan/status/2009976519133720904#m

Hugging Face (Twitter) RT @prithivMLmods: LTX-2 Camera-Control with Dolly-in/out and Dolly-left/right LoRA demo is now available on Hugging Face, paired with ltx-2-19b-distilled-lora for fast inference. 🤗Try it now on @huggingface: https://huggingface.co/spaces/prithivMLmods/LTX-2-LoRAs-Camera-Control-Dolly 🎥Dolly-In: https://huggingface.co/Lightricks/LTX-2-19b-LoRA-Camera-Control-Dolly-In @Lightricks