Hugging Face (Twitter)
RT @reach_vb: that's a Chinese food delivery company absolutely mogging the competition https://twitter.com/reach_vb/status/1961833208737103997#m
RT @reach_vb: that's a Chinese food delivery company absolutely mogging the competition https://twitter.com/reach_vb/status/1961833208737103997#m
Hugging Face (Twitter)
RT @MaziyarPanahi: need your help! list your top 5 datasets on @huggingface for rl training with verified answers.
- math
- code
- everyday stuff
RT @MaziyarPanahi: need your help! list your top 5 datasets on @huggingface for rl training with verified answers.
- math
- code
- everyday stuff
Hugging Face (Twitter)
RT @MaziyarPanahi: 1/ shipping two synthetic med qa sets from @OpenMed_AI community, made by @mkurman88 (core contributor):
• med-synth qwen3-235b-a22b (2507)
• med-synth gemma 3 (27b-it)
datasets on @huggingface 👇
RT @MaziyarPanahi: 1/ shipping two synthetic med qa sets from @OpenMed_AI community, made by @mkurman88 (core contributor):
• med-synth qwen3-235b-a22b (2507)
• med-synth gemma 3 (27b-it)
datasets on @huggingface 👇
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Hugging Face (Twitter)
RT @reach_vb: BOOM! Microsoft just released an upgraded VibeVoice Large ~10B Text to Speech model - MIT licensed 🔥
> Generate multi-speaker podcasts in minutes ⚡
> Works blazingly fast on ZeroGPU with H200 (FREE)
Try it out today! https://twitter.com/reach_vb/status/1960064616278417826#m
RT @reach_vb: BOOM! Microsoft just released an upgraded VibeVoice Large ~10B Text to Speech model - MIT licensed 🔥
> Generate multi-speaker podcasts in minutes ⚡
> Works blazingly fast on ZeroGPU with H200 (FREE)
Try it out today! https://twitter.com/reach_vb/status/1960064616278417826#m
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Hugging Face (Twitter)
RT @ClementDelangue: If you think @Apple is not doing much in AI, you're getting blindsided by the chatbot hype and not paying enough attention!
They just released FastVLM and MobileCLIP2 on @huggingface. The models are up to 85x faster and 3.4x smaller than previous work, enabling real-time vision language model (VLM) applications! It can even do live video captioning 100% locally in your browser 🤯🤯🤯
RT @ClementDelangue: If you think @Apple is not doing much in AI, you're getting blindsided by the chatbot hype and not paying enough attention!
They just released FastVLM and MobileCLIP2 on @huggingface. The models are up to 85x faster and 3.4x smaller than previous work, enabling real-time vision language model (VLM) applications! It can even do live video captioning 100% locally in your browser 🤯🤯🤯
Hugging Face (Twitter)
RT @eliebakouch: Super excited to announce that our research team at @huggingface will be doing an AMA on r/LocalLLaMA.
Come ask any questions to the team behind SmolLM, FineWeb and more! And who knows, maybe there’ll be a shiny new release to talk about?
Thursday 4th September, 8AM-11AM PST 🤗
RT @eliebakouch: Super excited to announce that our research team at @huggingface will be doing an AMA on r/LocalLLaMA.
Come ask any questions to the team behind SmolLM, FineWeb and more! And who knows, maybe there’ll be a shiny new release to talk about?
Thursday 4th September, 8AM-11AM PST 🤗
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Hugging Face (Twitter)
RT @reach_vb: 🎬 One prompt → a full video
GPT-5 + open models, stitched together with @OpenAI Codex + HF MCP Server 🤯
RT @reach_vb: 🎬 One prompt → a full video
GPT-5 + open models, stitched together with @OpenAI Codex + HF MCP Server 🤯
Hugging Face (Twitter)
RT @RisingSayak: ZeroGPU on 🤗 HF Spaces enables anyone to build delightful ML demos, benefitting from powerful compute. But, due to its serverless nature, it is hard to optimize these demos.
That CHANGES today 🪖
Use AoT compilation to melt our ZeroGPU servers 🔥
Details ⬇️
RT @RisingSayak: ZeroGPU on 🤗 HF Spaces enables anyone to build delightful ML demos, benefitting from powerful compute. But, due to its serverless nature, it is hard to optimize these demos.
That CHANGES today 🪖
Use AoT compilation to melt our ZeroGPU servers 🔥
Details ⬇️
Hugging Face (Twitter)
RT @LoubnaBenAllal1: Our science team at @huggingface will be doing an AMA on r/LocalLLaMA tomorrow at 8AM PST (5PM CET). The team members behind SmolLM, SmolVLM, FineWeb, and more will be present to answer all your questions!
RT @LoubnaBenAllal1: Our science team at @huggingface will be doing an AMA on r/LocalLLaMA tomorrow at 8AM PST (5PM CET). The team members behind SmolLM, SmolVLM, FineWeb, and more will be present to answer all your questions!
Hugging Face (Twitter)
RT @Xianbao_QIAN: I'm very glad to see that the new translation model from @TencentHunyuan is now ranking the 3rd. It's a reminder that small domain tuned models are more valuable than they appears.
Agentic stack needs both large and small models. Large models can handle planning and leverage sub-agents based on lean models to perform a particular task. Small models are cheap, fast and fine-tunable. They're not the opposite of large models but the complement to it.
RT @Xianbao_QIAN: I'm very glad to see that the new translation model from @TencentHunyuan is now ranking the 3rd. It's a reminder that small domain tuned models are more valuable than they appears.
Agentic stack needs both large and small models. Large models can handle planning and leverage sub-agents based on lean models to perform a particular task. Small models are cheap, fast and fine-tunable. They're not the opposite of large models but the complement to it.
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Hugging Face (Twitter)
RT @multimodalart: we hacked Wan 2.2 and discovered that it does first and last frame filling, works out of the box on 🧨 diffusers
i've built an app for it on @huggingface Spaces (which is powering powering our nano banana video mode too 🍌 🎬)
RT @multimodalart: we hacked Wan 2.2 and discovered that it does first and last frame filling, works out of the box on 🧨 diffusers
i've built an app for it on @huggingface Spaces (which is powering powering our nano banana video mode too 🍌 🎬)