Hugging Face (Twitter)
RT @LynaZhang: 🚀Our rStar-Coder dataset is now released!
A verified dataset of 418K competition-level code problems, each with test cases of varying difficulty. On LiveCodeBench, it boosts Qwen2.5-14B from 23.3% → 62.5%, beating o3-mini (low) by +3.1%.
Try it here:
RT @LynaZhang: 🚀Our rStar-Coder dataset is now released!
A verified dataset of 418K competition-level code problems, each with test cases of varying difficulty. On LiveCodeBench, it boosts Qwen2.5-14B from 23.3% → 62.5%, beating o3-mini (low) by +3.1%.
Try it here:
huggingface.co
microsoft/rStar-Coder · Datasets at Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Hugging Face (Twitter)
RT @EnricoShippole: We open-sourced 99% of US caselaw on @huggingface. Both AI and legal tech companies are selling this data for a high premium. You can simply just build a wrapper around it and freely compete with them now. That is why we love open-source.
https://twitter.com/intellectronica/status/1944792410124648532#m
RT @EnricoShippole: We open-sourced 99% of US caselaw on @huggingface. Both AI and legal tech companies are selling this data for a high premium. You can simply just build a wrapper around it and freely compete with them now. That is why we love open-source.
https://twitter.com/intellectronica/status/1944792410124648532#m
huggingface.co
common-pile/caselaw_access_project · Datasets at Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
❤1
Hugging Face (Twitter)
RT @Xianbao_QIAN: Model hub -> Application (space) hub -> Papers hub
What's next big hub on HF?
> Kernel hub <
RT @Xianbao_QIAN: Model hub -> Application (space) hub -> Papers hub
What's next big hub on HF?
> Kernel hub <
vxTwitter / fixvx
💖 7
💖 7
Arthur Zucker (@art_zucker)
We already have a solution for kernel install issues, in transformers you can hotswap with this: https://huggingface.co/kernels-community/flash-attn3, its a single install, very light (200mb?) because matches only your hardware, and... will support metal…
Hugging Face (Twitter)
RT @ZeffMax: I spoke to Hugging Face cofounder @Thom_Wolf about the Reachy Mini, and the company's bet on cute, desktop robotic devices to bring open source AI models into people's homes.
TBH, I think the Reachy Mini is one of a few AI devices people I know are really excited about.
RT @ZeffMax: I spoke to Hugging Face cofounder @Thom_Wolf about the Reachy Mini, and the company's bet on cute, desktop robotic devices to bring open source AI models into people's homes.
TBH, I think the Reachy Mini is one of a few AI devices people I know are really excited about.
Hugging Face (Twitter)
RT @rohanpaul_ai: Did you know 99% of US caselaw are available open sourced on @huggingface .😯
This dataset contains 6.7 million cases from the Caselaw Access Project and Court Listener.
The Caselaw Access Project consists of nearly 40 million pages of U.S. federal and state court decisions and judges’ opinions from the last 365 years.
In addition, Court Listener adds over 900 thousand cases scraped from 479 courts.
The Caselaw Access Project and Court Listener source legal data from a wide variety of resources such as the Harvard Law Library, the Law Library of Congress, and the Supreme Court Database.
From these sources, this dataset only included documents that were in the public domain.
Erroneous OCR errors were further corrected after digitization, and additional post-processing was done to fix formatting and parsing. https://twitter.com/EnricoShippole/status/1945129974375039226#m
RT @rohanpaul_ai: Did you know 99% of US caselaw are available open sourced on @huggingface .😯
This dataset contains 6.7 million cases from the Caselaw Access Project and Court Listener.
The Caselaw Access Project consists of nearly 40 million pages of U.S. federal and state court decisions and judges’ opinions from the last 365 years.
In addition, Court Listener adds over 900 thousand cases scraped from 479 courts.
The Caselaw Access Project and Court Listener source legal data from a wide variety of resources such as the Harvard Law Library, the Law Library of Congress, and the Supreme Court Database.
From these sources, this dataset only included documents that were in the public domain.
Erroneous OCR errors were further corrected after digitization, and additional post-processing was done to fix formatting and parsing. https://twitter.com/EnricoShippole/status/1945129974375039226#m
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Hugging Face (Twitter)
RT @skalskip92: supervision-0.26.0 is out
we finally released support for ViTPose and ViTPose++ pose estimation models from @huggingface transformers
link: https://github.com/roboflow/supervision
RT @skalskip92: supervision-0.26.0 is out
we finally released support for ViTPose and ViTPose++ pose estimation models from @huggingface transformers
link: https://github.com/roboflow/supervision
Hugging Face (Twitter)
RT @Xianbao_QIAN: Livestream of building HopeJR of your own.
111 people online. Almost 4000 likes after 5 hours of live streaming. Amazing!
Thanks @bilibili_en for the support.
Link below:
RT @Xianbao_QIAN: Livestream of building HopeJR of your own.
111 people online. Almost 4000 likes after 5 hours of live streaming. Amazing!
Thanks @bilibili_en for the support.
Link below:
Hugging Face (Twitter)
RT @reach_vb: Lets GOOO! @NVIDIAAIDev just dropped Canary Qwen 2.5 - SoTA on Open ASR Leaderboard, CC-BY licensed 🔥
> Works in both ASR and LLM mode (i.e. ask the model to summarise, QnA about the audio)
> Achieves the lowest 5.62 WER
> RTFx of 418 for a 2.5B model is impressive
> Commercially permissive license
Can even run on a free colab! Kudos Nvidia team - looking forward to multilingual versions soon! 🤗
RT @reach_vb: Lets GOOO! @NVIDIAAIDev just dropped Canary Qwen 2.5 - SoTA on Open ASR Leaderboard, CC-BY licensed 🔥
> Works in both ASR and LLM mode (i.e. ask the model to summarise, QnA about the audio)
> Achieves the lowest 5.62 WER
> RTFx of 418 for a 2.5B model is impressive
> Commercially permissive license
Can even run on a free colab! Kudos Nvidia team - looking forward to multilingual versions soon! 🤗
Hugging Face (Twitter)
RT @MaziyarPanahi: 🚀 Big news in healthcare AI! I'm thrilled to announce the launch of OpenMed on @huggingface, releasing 380+ state-of-the-art medical NER models for free under Apache 2.0.
And this is just the beginning! 🧵
RT @MaziyarPanahi: 🚀 Big news in healthcare AI! I'm thrilled to announce the launch of OpenMed on @huggingface, releasing 380+ state-of-the-art medical NER models for free under Apache 2.0.
And this is just the beginning! 🧵
Hugging Face (Twitter)
RT @togethercompute: Most AI benchmarks test the past.
But real intelligence is about predicting the future.
Introducing FutureBench — a new benchmark for evaluating agents on real forecasting tasks that we developed with @huggingface
🔍 Reasoning > memorization
📊 Real-world events
🧠 Dynamic, verifiable outcomes
Read more (link below)
RT @togethercompute: Most AI benchmarks test the past.
But real intelligence is about predicting the future.
Introducing FutureBench — a new benchmark for evaluating agents on real forecasting tasks that we developed with @huggingface
🔍 Reasoning > memorization
📊 Real-world events
🧠 Dynamic, verifiable outcomes
Read more (link below)
Hugging Face (Twitter)
RT @abidlabs: More than 2200 open-source MCP servers!
https://huggingface.co/spaces?filter=mcp-server
RT @abidlabs: More than 2200 open-source MCP servers!
https://huggingface.co/spaces?filter=mcp-server
Hugging Face (Twitter)
RT @DataScienceHarp: Had an awesome time visiting @huggingface office in Paris! Thank you @mervenoyann for the invite. Good you finally meet you and the legend @reach_vb in person. Looking forward to the next time. Cheers!
RT @DataScienceHarp: Had an awesome time visiting @huggingface office in Paris! Thank you @mervenoyann for the invite. Good you finally meet you and the legend @reach_vb in person. Looking forward to the next time. Cheers!
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Hugging Face (Twitter)
RT @pollenrobotics: 🖐️ 4 fingers, 8 degrees of freedom
🔩 Dual hobby servos per finger
🦴 Rigid "bones" with a soft TPU shell
🖨️ Fully 3D printable
⚖️ Weighs 400g and costs under €200
This is the "Amazing Hand". Check it out 👇
Try, tweak & share: https://huggingface.co/blog/pollen-robotics/amazing-hand
RT @pollenrobotics: 🖐️ 4 fingers, 8 degrees of freedom
🔩 Dual hobby servos per finger
🦴 Rigid "bones" with a soft TPU shell
🖨️ Fully 3D printable
⚖️ Weighs 400g and costs under €200
This is the "Amazing Hand". Check it out 👇
Try, tweak & share: https://huggingface.co/blog/pollen-robotics/amazing-hand
Hugging Face (Twitter)
RT @ErikKaum: We just released native support for @sgl_project and @vllm_project in Inference Endpoints 🔥
Inference Endpoints is becoming the central place where you deploy high performance Inference Engines.
And that provides the managed infra for it so you can focus on your users.
RT @ErikKaum: We just released native support for @sgl_project and @vllm_project in Inference Endpoints 🔥
Inference Endpoints is becoming the central place where you deploy high performance Inference Engines.
And that provides the managed infra for it so you can focus on your users.
Hugging Face (Twitter)
RT @pydantic: Pydantic AI now supports @huggingface as a provider!
You can use it to run open source models like DeepSeek R1 on scalable serverless infrastructure. They have a free tier allowance so you can test it out.
Thanks to the Hugging Face team (@hanouticelina ) for this great contribution.
RT @pydantic: Pydantic AI now supports @huggingface as a provider!
You can use it to run open source models like DeepSeek R1 on scalable serverless infrastructure. They have a free tier allowance so you can test it out.
Thanks to the Hugging Face team (@hanouticelina ) for this great contribution.
Hugging Face (Twitter)
RT @ClementDelangue: It's so beautiful to see the @Kimi_Moonshot team participating in every single community discussions or pull requests on @huggingface (the little blue bubbles on the right).
In my opinion, every serious AI organization should dedicate meaningful time and ressources to this because that's how you build an engaged AI builder community!
RT @ClementDelangue: It's so beautiful to see the @Kimi_Moonshot team participating in every single community discussions or pull requests on @huggingface (the little blue bubbles on the right).
In my opinion, every serious AI organization should dedicate meaningful time and ressources to this because that's how you build an engaged AI builder community!