Hugging Face

Hugging Face (Twitter) RT @NVIDIAAP: Open source makes it possible for more countries to build sovereign #AI models. Love seeing South Korea’s MoE models from @LG_AI_Research, @SKtelecom, and @upstageai trending on @huggingface. Built using our full stack, from accelerated infrastructure to Nemotron datasets and libraries. https://twitter.com/ClementDelangue/status/2008954270411051465#m

Hugging Face (Twitter) RT @realmrfakename: HF Jobs is pretty neat!

Hugging Face (Twitter) RT @Xianbao_QIAN: New embedding model coming out from Octen. Its 8B and 4B models are the best open-source models on the RTEB English dataset so far. Check them out on @huggingface : huggingface.co/bflhc

Hugging Face (Twitter) RT @multimodalart: I've built a custom camera control @Gradio component for camera control LoRAs for image models 🎥🧊 Here's a demo of @fal's Qwen-Image-Edit-2511-Multiple-Angles-LoRA using the interactive camera component

Hugging Face (Twitter) RT @Alibaba_Qwen: 🚀 Introducing Qwen3-VL-Embedding and Qwen3-VL-Reranker – advancing the state of the art in multimodal retrieval and cross-modal understanding! ✨ Highlights: ✅ Built upon the robust Qwen3-VL foundation model ✅ Processes text, images, screenshots, videos, and mixed modality inputs ✅ Supports 30+ languages ✅ Achieves state-of-the-art performance on multimodal retrieval benchmarks ✅ Open source and available on Hugging Face, GitHub, and ModelScope ✅ API deployment on Alibaba Cloud coming soon! 🎯 Two-stage retrieval architecture: 📊 Embedding Model – generates semantically rich vector representations in a unified embedding space 🎯 Reranker Model – computes fine-grained relevance scores for enhanced retrieval accuracy 🔍 Key application scenarios: Image-text retrieval, video search, multimodal RAG, visual question answering, multimodal content clustering, multilingual visual search, and more! 🌟 Developer-friendly capabilities: •... Перейти на оригинальный пост

Hugging Face (Twitter) RT @jasonkneen: VERY excited to share that I'm taking on a new role at @huggingface and will be working with an amazing team including @abidlabs@ClementDelangue@Julian helping developers build on open-source models, datasets and so much more! 🧵 1/4

Hugging Face (Twitter) RT @NVIDIAAIDev: 🎂 One year of Cosmos, and what a journey it's been. 🌑 We're celebrating with some incredible milestones: 🚀 5M total downloads across the Cosmos ecosystem 🧠 Cosmos Reason is the #1 model on the physical reasoning leaderboard with 2M+ downloads on @HuggingFace 🔮 Cosmos Predict is the #1 open model on the physical AI generation leaderboard with 2M+ downloads Thank you to our amazing developer community for making this possible. Here's to pushing the boundaries of world foundation models together! 📚 Explore Models & Datasets: nvda.ws/4qFP2zg 🧑🏻‍🍳 Read the Cosmos Cookbook: nvda.ws/4qevli8

‌Hugging Face (Twitter) RT @maximelabonne: The model is available today on @huggingface with examples and a quick start tutorial! https://huggingface.co/LiquidAI/LFM2-2.6B-Transcript

Hugging Face (Twitter) RT @maximelabonne: LFM2-2.6B-Transcript @AMD🤝@liquidai > Private, on-device meeting summarization > Cloud-level quality > Faster processing, lower memory footprint > Runs across CPU, GPU, and NPU on AMD Ryzen AI PC Great showcase of what tiny models can achieve when fine-tuned

Hugging Face (Twitter) RT @ClementDelangue: South Korea has 3 trending models on @huggingface these days as a result to their state support for open-source AI. We talk a lot about the US and China in AI but all countries can (and should) be builders thanks to open-source!

Hugging Face (Twitter) RT @cgeorgiaw: 2026 means updating the @huggingscience heatmap 🔥 Tracking all the orgs making open science releases, and I just added @instadeepai + @pranamanam's lab. Check out all the cool stuff being released on the Hub (or lmk who I missed)

Hugging Face (Twitter) RT @mishig25: AI accelerating AI research. On every hf paper, we've deployed a chatbot (powered by open weights models such as GLM-4.6) to quickly understand papers by answering questions, summarizing key ideas, and providing context as you browse the latest research