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Hugging Face (Twitter)
RT @reach_vb: BOOM! Starting today you can use open source frontier LLMs in @code with HF Inference Providers! 🔥
Use your inference credits on SoTA llms like GLM 4.5, Qwen3 Coder, DeepSeek 3.1 and more
All of it packaged in one simple extension - try it out today 🤗
RT @reach_vb: BOOM! Starting today you can use open source frontier LLMs in @code with HF Inference Providers! 🔥
Use your inference credits on SoTA llms like GLM 4.5, Qwen3 Coder, DeepSeek 3.1 and more
All of it packaged in one simple extension - try it out today 🤗
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Hugging Face (Twitter)
RT @hanouticelina: Starting today, you can use Hugging Face Inference Providers directly in GitHub Copilot Chat on @code! 🔥
which means you can access frontier open-source LLMs like Qwen3-Coder, gpt-oss and GLM-4.5 directly in VS Code, powered by our world-class inference partners - @CerebrasSystems, @Cohere_Labs, @FireworksAI_HQ, @GroqInc, @novita_labs, @togethercompute & more!
give it a try today! 🧵👇
RT @hanouticelina: Starting today, you can use Hugging Face Inference Providers directly in GitHub Copilot Chat on @code! 🔥
which means you can access frontier open-source LLMs like Qwen3-Coder, gpt-oss and GLM-4.5 directly in VS Code, powered by our world-class inference partners - @CerebrasSystems, @Cohere_Labs, @FireworksAI_HQ, @GroqInc, @novita_labs, @togethercompute & more!
give it a try today! 🧵👇
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Hugging Face (Twitter)
RT @GroqInc: You can now access Groq models directly in VS @code with @huggingface.
Just BYOK. 🔑
RT @GroqInc: You can now access Groq models directly in VS @code with @huggingface.
Just BYOK. 🔑
Hugging Face (Twitter)
RT @art_zucker: 🚀 Big news: we’re moving towards the v5 release of transformers!
After months of teasing, it’s finally happening 🎉
What to expect in v5:
✨ Cutting-edge stack — fast models, with fast kernels
✨ Smarter defaults — better out-of-the-box experience
✨ Cleaner codebase — warnings & legacy bits removed
The goal? To make transformers the most robust, modern, and developer-friendly ML library out there.
Stay tuned — it’s going to be huge. 🔥
RT @art_zucker: 🚀 Big news: we’re moving towards the v5 release of transformers!
After months of teasing, it’s finally happening 🎉
What to expect in v5:
✨ Cutting-edge stack — fast models, with fast kernels
✨ Smarter defaults — better out-of-the-box experience
✨ Cleaner codebase — warnings & legacy bits removed
The goal? To make transformers the most robust, modern, and developer-friendly ML library out there.
Stay tuned — it’s going to be huge. 🔥
Hugging Face (Twitter)
RT @LucSGeorges: we've been pushing commits to transformers discretely, time to talk about we've been cooking the last few months:
⚡️ Continuous Batching is in transformers ⚡️
this will simplify, most notably, evaluation and your training loop: no need for extra dependencies or infra to get fast inference, and no need for convoluted code to update your weights
note that speed is currently not on par with the best inference frameworks and servers out there and probably never will be
the goal is *not* to become as fast: we want to complement the existing landscape with features like these, aiming for transformers to be the toolbox for tinkering with and building models
RT @LucSGeorges: we've been pushing commits to transformers discretely, time to talk about we've been cooking the last few months:
⚡️ Continuous Batching is in transformers ⚡️
this will simplify, most notably, evaluation and your training loop: no need for extra dependencies or infra to get fast inference, and no need for convoluted code to update your weights
note that speed is currently not on par with the best inference frameworks and servers out there and probably never will be
the goal is *not* to become as fast: we want to complement the existing landscape with features like these, aiming for transformers to be the toolbox for tinkering with and building models
Hugging Face (Twitter)
RT @laurentsifre: We’ve been cooking this summer: Holo1.5 is here! SOTA UI localization + QA, 3× gains vs Qwen-2.5 VL 🍳
Now up to 72B 💥 — a strong base for computer-use agents like Surfer.
• Open weights on HuggingFace 🤗 https://huggingface.co/Hcompany/Holo1.5-7B
• Blog post 📝 hcompany.ai/blog/holo-1-5
(1/n 🧵)
RT @laurentsifre: We’ve been cooking this summer: Holo1.5 is here! SOTA UI localization + QA, 3× gains vs Qwen-2.5 VL 🍳
Now up to 72B 💥 — a strong base for computer-use agents like Surfer.
• Open weights on HuggingFace 🤗 https://huggingface.co/Hcompany/Holo1.5-7B
• Blog post 📝 hcompany.ai/blog/holo-1-5
(1/n 🧵)
Hugging Face (Twitter)
RT @reach_vb: Talking about the state of Open Source LLMs at @aiDotEngineer next week! 🔥
Quite excited for the talk and meeting everyone - let's goo! 🤗
RT @reach_vb: Talking about the state of Open Source LLMs at @aiDotEngineer next week! 🔥
Quite excited for the talk and meeting everyone - let's goo! 🤗
Hugging Face (Twitter)
RT @Ali_TongyiLab: 1/7 We're launching Tongyi DeepResearch, the first fully open-source Web Agent to achieve performance on par with OpenAI's Deep Research with only 30B (Activated 3B) parameters! Tongyi DeepResearch agent demonstrates state-of-the-art results, scoring 32.9 on Humanity's Last Exam, 45.3 on BrowseComp, and 75.0 on the xbench-DeepSearch benchmark.
RT @Ali_TongyiLab: 1/7 We're launching Tongyi DeepResearch, the first fully open-source Web Agent to achieve performance on par with OpenAI's Deep Research with only 30B (Activated 3B) parameters! Tongyi DeepResearch agent demonstrates state-of-the-art results, scoring 32.9 on Humanity's Last Exam, 45.3 on BrowseComp, and 75.0 on the xbench-DeepSearch benchmark.
Hugging Face (Twitter)
RT @nathanhabib1011: 🚀 Just updated lighteval’s readme—can’t believe we’ve grown to cover ~7,000 tasks 😳
with top-tier multilingual support 🌍
llm as judge 🤖
multiturn evals 🗣️
coding benchmarks 🧑💻
RT @nathanhabib1011: 🚀 Just updated lighteval’s readme—can’t believe we’ve grown to cover ~7,000 tasks 😳
with top-tier multilingual support 🌍
llm as judge 🤖
multiturn evals 🗣️
coding benchmarks 🧑💻
Hugging Face (Twitter)
RT @MaziyarPanahi: Introducing 90+ open-source, state‑of‑the‑art biomedical and clinical zero‑shot NER models on @HuggingFace by @OpenMed_AI
Apache‑2.0 licensed and ready to use
Built on GLiNER and covering 12+ biomedical datasets
🧵 (1/6)
RT @MaziyarPanahi: Introducing 90+ open-source, state‑of‑the‑art biomedical and clinical zero‑shot NER models on @HuggingFace by @OpenMed_AI
Apache‑2.0 licensed and ready to use
Built on GLiNER and covering 12+ biomedical datasets
🧵 (1/6)
Hugging Face (Twitter)
RT @_fracapuano: We're releasing an updated dataset format for @LeRobotHF, and it is built for scale. LeRobotDataset:v3 supports multi-million episode datasets and streaming, enabling better performance across the board
Learn more:
RT @_fracapuano: We're releasing an updated dataset format for @LeRobotHF, and it is built for scale. LeRobotDataset:v3 supports multi-million episode datasets and streaming, enabling better performance across the board
Learn more:
huggingface.co
`LeRobotDataset:v3.0`: Bringing large-scale datasets to `lerobot`
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Hugging Face (Twitter)
RT @Weyaxi: The @huggingface followers leaderboard is BACK after a month 🚀
Top users:
1. @TheBlokeAI
2. @lvminzhang
3. @mervenoyann
4. @bartowski1182
5. @akhaliq
6. @ylecun
7. @fffiloni
8. @xenovacom
9. @Teknium1
10. @maximelabonne
11. @TheEricHartford
Fixed thanks to @charlesbben 🙌
RT @Weyaxi: The @huggingface followers leaderboard is BACK after a month 🚀
Top users:
1. @TheBlokeAI
2. @lvminzhang
3. @mervenoyann
4. @bartowski1182
5. @akhaliq
6. @ylecun
7. @fffiloni
8. @xenovacom
9. @Teknium1
10. @maximelabonne
11. @TheEricHartford
Fixed thanks to @charlesbben 🙌
Hugging Face (Twitter)
RT @mshuaibii: Excited to present the FAIR Chemistry Leaderboard - a centralized space for our team’s community benchmark efforts. We’re kicking things off today with the OMol25 leaderboard!
📊Leaderboard: https://huggingface.co/spaces/facebook/fairchem_leaderboard
🖥️Code: https://github.com/facebookresearch/fairchem
RT @mshuaibii: Excited to present the FAIR Chemistry Leaderboard - a centralized space for our team’s community benchmark efforts. We’re kicking things off today with the OMol25 leaderboard!
📊Leaderboard: https://huggingface.co/spaces/facebook/fairchem_leaderboard
🖥️Code: https://github.com/facebookresearch/fairchem
Hugging Face (Twitter)
RT @mervenoyann: after last time I have asked this question, we listened to you and shipped a ton of this so there it goes:
what can we improve to make it easier to build with @huggingface Hub and open-source libraries? ✨
your opinions matter a ton!
RT @mervenoyann: after last time I have asked this question, we listened to you and shipped a ton of this so there it goes:
what can we improve to make it easier to build with @huggingface Hub and open-source libraries? ✨
your opinions matter a ton!
Hugging Face (Twitter)
RT @Tu7uruu: 🚀 New dataset drop for speech & NLP folks!
OleSpeech-IV-2025-EN-AR-100 (100h)
🎤 Real, unprompted English convos
🗂️ Human transcripts + speaker turns
🔎 Overlaps & timestamps included
📂 Raw, uncompressed audio
Perfect for ASR, diarization & convo modeling 👌
RT @Tu7uruu: 🚀 New dataset drop for speech & NLP folks!
OleSpeech-IV-2025-EN-AR-100 (100h)
🎤 Real, unprompted English convos
🗂️ Human transcripts + speaker turns
🔎 Overlaps & timestamps included
📂 Raw, uncompressed audio
Perfect for ASR, diarization & convo modeling 👌
Hugging Face (Twitter)
RT @ClementDelangue: Unitree first open-source world-model on @huggingface!
UnifoLM-WMA-0 is Unitree‘s first open-source world-model–action architecture spanning multiple types of robotic embodiments, designed specifically for general-purpose robot learning.
Its core component is a world-model capable of understanding the physical interactions between robots and the environments.
This world-model provides two key functions: (a) Simulation Engine – operates as an interactive simulator to generate synthetic data for robot learning; (b) Policy Enhancement – connects with an action head and, by predicting future interaction processes with the world-model, further optimizes decision-making performance.
Link to the model: https://huggingface.co/unitreerobotics/UnifoLM-WMA-0
RT @ClementDelangue: Unitree first open-source world-model on @huggingface!
UnifoLM-WMA-0 is Unitree‘s first open-source world-model–action architecture spanning multiple types of robotic embodiments, designed specifically for general-purpose robot learning.
Its core component is a world-model capable of understanding the physical interactions between robots and the environments.
This world-model provides two key functions: (a) Simulation Engine – operates as an interactive simulator to generate synthetic data for robot learning; (b) Policy Enhancement – connects with an action head and, by predicting future interaction processes with the world-model, further optimizes decision-making performance.
Link to the model: https://huggingface.co/unitreerobotics/UnifoLM-WMA-0
Hugging Face (Twitter)
RT @Xianbao_QIAN: @AntLingAGI Ling-Flash-2.0 from Ant Finance just dropped on @huggingface
- 100B MoE, 6.1B active (4.8B non-embedding)
- 128k context length
- Trained on 20T+ tokens
- Base model available too
- Great performance on reasoning tasks
- MIT license
RT @Xianbao_QIAN: @AntLingAGI Ling-Flash-2.0 from Ant Finance just dropped on @huggingface
- 100B MoE, 6.1B active (4.8B non-embedding)
- 128k context length
- Trained on 20T+ tokens
- Base model available too
- Great performance on reasoning tasks
- MIT license
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Hugging Face (Twitter)
RT @bfl_ml: FLUX.1 Kontext [dev] Hackathon is live!
$10K+ in prizes, open worldwide. 7 days to experiment and surprise us. Create LoRAs, build workflows, or try something totally unexpected.
Run it locally or through our partners @NVIDIA_AI_PC @fal @huggingface
Registration link below 👇
RT @bfl_ml: FLUX.1 Kontext [dev] Hackathon is live!
$10K+ in prizes, open worldwide. 7 days to experiment and surprise us. Create LoRAs, build workflows, or try something totally unexpected.
Run it locally or through our partners @NVIDIA_AI_PC @fal @huggingface
Registration link below 👇
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Hugging Face (Twitter)
RT @DecartAI: We are building “Open Source Nano Banana for Video” - here is open source demo v0.1
We are open sourcing Lucy Edit, the first foundation model for text-guided video editing!
Get the model on @huggingface 🤗, API on @FAL, and nodes on @ComfyUI 🧵
RT @DecartAI: We are building “Open Source Nano Banana for Video” - here is open source demo v0.1
We are open sourcing Lucy Edit, the first foundation model for text-guided video editing!
Get the model on @huggingface 🤗, API on @FAL, and nodes on @ComfyUI 🧵