Hugging Face (Twitter)
💅 adding the final touches, see you in 30 minutes! https://twitter.com/huggingface/status/1991766734664311252#m
💅 adding the final touches, see you in 30 minutes! https://twitter.com/huggingface/status/1991766734664311252#m
Hugging Face (Twitter)
RT @Gradio: Gradio 6 Launch 🏎️🏁 https://twitter.com/i/broadcasts/1OdKrOoqgrPGX
RT @Gradio: Gradio 6 Launch 🏎️🏁 https://twitter.com/i/broadcasts/1OdKrOoqgrPGX
Hugging Face (Twitter)
RT @nikhilaravi: SAM 3 is the #1 trending repo on @huggingface! 🤩Thanks @ClementDelangue for personally informing us!
RT @nikhilaravi: SAM 3 is the #1 trending repo on @huggingface! 🤩Thanks @ClementDelangue for personally informing us!
Hugging Face (Twitter)
RT @NVIDIAAIDev: Introducing the Nemotron-Personas Collection 💬
A set of multilingual, region-specific synthetic persona datasets created with NVIDIA NeMo Data Designer. Each dataset mirrors real-world demographic and geographic distributions to help you fine-tune and evaluate AI systems without exposing personal data.
Now available:
🇺🇸 Nemotron-Personas-USA: 6M personas
🇯🇵 Nemotron-Personas-Japan: 6M personas
🇮🇳 Nemotron-Personas-India: 21M personas
All datasets are open source and licensed under CC BY 4.0.
Explore on @huggingface 👇 nvda.ws/4ocqnRk
RT @NVIDIAAIDev: Introducing the Nemotron-Personas Collection 💬
A set of multilingual, region-specific synthetic persona datasets created with NVIDIA NeMo Data Designer. Each dataset mirrors real-world demographic and geographic distributions to help you fine-tune and evaluate AI systems without exposing personal data.
Now available:
🇺🇸 Nemotron-Personas-USA: 6M personas
🇯🇵 Nemotron-Personas-Japan: 6M personas
🇮🇳 Nemotron-Personas-India: 21M personas
All datasets are open source and licensed under CC BY 4.0.
Explore on @huggingface 👇 nvda.ws/4ocqnRk
huggingface.co
Nemotron-Personas - a nvidia Collection
A collection of multilingual, region-specific synthetic persona datasets that support sovereign AI development across many countries and regions.
Hugging Face (Twitter)
RT @NVIDIARobotics: Join our Robotics Office Hours with the @huggingface LeRobot team on Wednesday, November 26 @ 11 AM PT. 🤖
Learn to post-train and evaluate Isaac GR00T N1.5 with the latest LeRobot release and see real-world deployment examples.
📆 Add to Calendar: nvda.ws/48cYeE0
RT @NVIDIARobotics: Join our Robotics Office Hours with the @huggingface LeRobot team on Wednesday, November 26 @ 11 AM PT. 🤖
Learn to post-train and evaluate Isaac GR00T N1.5 with the latest LeRobot release and see real-world deployment examples.
📆 Add to Calendar: nvda.ws/48cYeE0
👍1
Hugging Face (Twitter)
RT @Xianbao_QIAN: Welcome Nex-N1, a new series of agentic foundational models, to @huggingface
- available in different sizes from 8B, 30B, 32B to 671B
- strong in tool-use, web-search and real-world agentic workflow
- some SFT dataset has been open sourced
Technical report come up soon!
RT @Xianbao_QIAN: Welcome Nex-N1, a new series of agentic foundational models, to @huggingface
- available in different sizes from 8B, 30B, 32B to 671B
- strong in tool-use, web-search and real-world agentic workflow
- some SFT dataset has been open sourced
Technical report come up soon!
Hugging Face (Twitter)
RT @mervenoyann: I'm keeping a track of real-time vision models (mostly detectors) on @huggingface
we have RT-DETR, YOLO, RF-DETR and D-FINE for now
what other models should we add?
RT @mervenoyann: I'm keeping a track of real-time vision models (mostly detectors) on @huggingface
we have RT-DETR, YOLO, RF-DETR and D-FINE for now
what other models should we add?
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Hugging Face (Twitter)
RT @marlene_zw: Open source/weight models are often used in regulated industries like Health Care or Financial Services, where they handle personally identifiable data, and can't send it to proprietary LLM providers.
We recently chatted to @reach_vb about the partnership VS @code and @huggingface inference providers have to let you use open weight models directly in your IDE! Something that surprised me was just how fast inference providers like @cerebras make it to generate code! In this episode we made a journaling CLI tool using Qwen!
I personally love open source and hope more of these models will become small enough to run locally!
RT @marlene_zw: Open source/weight models are often used in regulated industries like Health Care or Financial Services, where they handle personally identifiable data, and can't send it to proprietary LLM providers.
We recently chatted to @reach_vb about the partnership VS @code and @huggingface inference providers have to let you use open weight models directly in your IDE! Something that surprised me was just how fast inference providers like @cerebras make it to generate code! In this episode we made a journaling CLI tool using Qwen!
I personally love open source and hope more of these models will become small enough to run locally!
Hugging Face (Twitter)
RT @Xianbao_QIAN: Hunyuan OCR, Tencent's new document-understanding model, is now on @huggingface 🚀
- SOTA in document parsing, visual Q&A and Translation
- 1B-parameter, end-to-end
- Interactive demo available
- Tech report released
Model: https://huggingface.co/tencent/HunyuanOCR
Demo: https://huggingface.co/spaces/tencent/HunyuanOCR
RT @Xianbao_QIAN: Hunyuan OCR, Tencent's new document-understanding model, is now on @huggingface 🚀
- SOTA in document parsing, visual Q&A and Translation
- 1B-parameter, end-to-end
- Interactive demo available
- Tech report released
Model: https://huggingface.co/tencent/HunyuanOCR
Demo: https://huggingface.co/spaces/tencent/HunyuanOCR
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Hugging Face (Twitter)
RT @Tu7uruu: Dia2 is OUT! a streaming text-to-speech model that can generate voice in real time 🤯
> Generates audio on the fly, no full text input needed
> Real-time conversational streaming (perfect for agents + AI voice apps)
> Prefix conditioning for smoother, contextual voice responses
> Comes in 1B & 2B model sizes
> Fully open-source with Apache 2.0 license
RT @Tu7uruu: Dia2 is OUT! a streaming text-to-speech model that can generate voice in real time 🤯
> Generates audio on the fly, no full text input needed
> Real-time conversational streaming (perfect for agents + AI voice apps)
> Prefix conditioning for smoother, contextual voice responses
> Comes in 1B & 2B model sizes
> Fully open-source with Apache 2.0 license
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Hugging Face (Twitter)
RT @bfl_ml: FLUX.2 is here - our most capable image generation & editing model to date.
Multi-reference. 4MP. Production-ready. Open weights.
Into the new.
RT @bfl_ml: FLUX.2 is here - our most capable image generation & editing model to date.
Multi-reference. 4MP. Production-ready. Open weights.
Into the new.
Hugging Face (Twitter)
RT @multimodalart: FLUX.2 is out! 🚨
FLUX.2-dev bing state-of-the-art to open weight, with a chonky 32B parameter model, however, it can run on low-end cards with quantization and the new remote text encoder
Read more on the 🧨 diffusers welcomes FLUX-2 blog
huggingface.co/blog/flux-2
RT @multimodalart: FLUX.2 is out! 🚨
FLUX.2-dev bing state-of-the-art to open weight, with a chonky 32B parameter model, however, it can run on low-end cards with quantization and the new remote text encoder
Read more on the 🧨 diffusers welcomes FLUX-2 blog
huggingface.co/blog/flux-2
huggingface.co
Diffusers welcomes FLUX-2
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Hugging Face (Twitter)
RT @mervenoyann: FLUX.2 is here! 🎨
> single text encoder (Mistral Small 3.1) + DiT
> experiment with different quantization schemes for inference & training (QLoRA) -- more than 80GB VRAM otherwise
> comes with day-0 diffusers support 🧨
RT @mervenoyann: FLUX.2 is here! 🎨
> single text encoder (Mistral Small 3.1) + DiT
> experiment with different quantization schemes for inference & training (QLoRA) -- more than 80GB VRAM otherwise
> comes with day-0 diffusers support 🧨
Hugging Face (Twitter)
RT @ClementDelangue: Reachy mini is my new podcast assistant! Coming soon with @ti_morse...
RT @ClementDelangue: Reachy mini is my new podcast assistant! Coming soon with @ti_morse...
Hugging Face (Twitter)
Flux.1-dev has been the second most liked model on Hugging Face just after Deepseek R1 so super excited to see the release of Flux.2-dev by @bfl_ml today!
Download the weights or try the model (thanks to @fal) on @huggingface: https://huggingface.co/black-forest-labs/FLUX.2-dev
Read the blogpost: huggingface.co/blog/flux-2
Let’s go!
Flux.1-dev has been the second most liked model on Hugging Face just after Deepseek R1 so super excited to see the release of Flux.2-dev by @bfl_ml today!
Download the weights or try the model (thanks to @fal) on @huggingface: https://huggingface.co/black-forest-labs/FLUX.2-dev
Read the blogpost: huggingface.co/blog/flux-2
Let’s go!
Hugging Face (Twitter)
RT @ariG23498: Flux.2 is a BIG BOI 🐘
The inference takes more than 80GB VRAM
A small thread on how one can run it on a NVIDIA L4 (22 GBs of VRAM)? 😉
RT @ariG23498: Flux.2 is a BIG BOI 🐘
The inference takes more than 80GB VRAM
A small thread on how one can run it on a NVIDIA L4 (22 GBs of VRAM)? 😉
Hugging Face (Twitter)
RT @AdinaYakup: Daily Papers has gained a lot of attention this past year with all the new updates 🔥
Here’s a guide that will help you quickly understand what’s new and make better use of the tool 🤗
https://huggingface.co/blog/AdinaY/a-guide-to-hugging-faces-papers-page
RT @AdinaYakup: Daily Papers has gained a lot of attention this past year with all the new updates 🔥
Here’s a guide that will help you quickly understand what’s new and make better use of the tool 🤗
https://huggingface.co/blog/AdinaY/a-guide-to-hugging-faces-papers-page
huggingface.co
A Guide to Hugging Face’s Papers Page
A Blog post by Adina Yakefu on Hugging Face