Hugging Face

Hugging Face (Twitter) RT @Xianbao_QIAN: The base model has been open sourced on @huggingface: https://huggingface.co/Spirit-AI-robotics/Spirit-v1.5 Fine-tune data for RoboChallenge task: https://huggingface.co/datasets/RoboChallenge/Table30https://twitter.com/Xianbao_QIAN/status/2010330035450953842#m

Hugging Face (Twitter) RT @Trtd6Trtd: Reachy MiniにWebニュースを読ませてる アレクサでええやろがい、と言われたらそれまでだが、ちょこちょこ動くのが可愛いので満足

Hugging Face (Twitter) RT @eliebakouch: Most web data in (very) low resource languages is Bible and Wikipedia. The rest? @huggingface data team ran Gemma3 27B for 3 months to translate it into english, to improve translation models and to bring cultural context from 500+ language communities into english training data. Here is the full pipeline https://huggingface.co/datasets/HuggingFaceFW/finetranslationshttps://twitter.com/gui_penedo/status/2009677127671492616#m

Hugging Face (Twitter) RT @ben_burtenshaw: TIL: you can scale rl environments as hub spaces to batch sizes of 128 on free hardware! This is ideal for most (humble) RL workloads. Plus, openenv scales from there. this weekend I'm running a benchmarking experiment on openenv RL environments to see what scale they can reach on the main hardware types: (free/ paid) hub spaces, local docker, local python, and slurm+envoy. the idea is to have a single env definition (openenv) which takes us from hacker scale to hyper scale, without the env getting in the way. we're sharing this in detail on wednesday in GPU-Mode

Hugging Face (Twitter) RT @willmcgugan: Both @huggingface and @OpenHandsDev are offering free tokens for their AI models! That's $30 free to build your next product. Get your free tokens via Toad, the unified interface for AI in your terminal. curl -fsSL batrachian.ai/install | sh github.com/textualize/toad

Hugging Face (Twitter) RT @lhoestq: We shipped it yesterday and there were already 20k+ datasets in Optimized-parquet format 🤯 Anyone can benefit from all their advantages today. Learn how it works below, it's a game changer 👇https://twitter.com/lhoestq/status/2009631565706637768#m

Hugging Face (Twitter) RT @JosephJacks_: Awesome to see @liquidai trending again on @huggingface !! 🌊📈 Congrats to @maximelabonne, @mlech26l, @ramin_m_h and colleagues. 👏🏼👏🏼

Hugging Face (Twitter) RT @maximelabonne: We're trending! 🥳 And congrats to @Lightricks for their amazing model

Hugging Face (Twitter) RT @lhoestq: Optimized-parquet is now on @huggingface, this is a new era for datasets ! here is why it's amazing and how it works:

Hugging Face (Twitter) RT @Basilakis: I am so impressed of using Inference Endpoints from @huggingface . So easy to use, so amazing results. The stuff you can get are dope. Some many other services existing doing this, but the simplicity of repo2inference is so easy, that you wonder why to test anything else.

Hugging Face (Twitter) RT @SOSOHAJALAB: Do you guys still cook somethings yourself? Claudecode with plugins @huggingface doing this automatically but also, make the datasets and upload to HF itself. How fantastic lovely simply cooking via claude code 👍

Hugging Face (Twitter) RT @EmileAndHisBots: One of the things we were busy with over Christmas: Reachy Mini by @pollenrobotics and @huggingface - I had my kids assemble it; it's a very well-designed robot!