Hugging Face

Hugging Face (Twitter) RT @askOkara: Big News: We’ve removed all closed models from Okara. Starting today, Okara runs only open-source models. Here’s why 👇

Hugging Face (Twitter) RT @ben_burtenshaw: you can now push, run, and pull agentic environments from the hugging face hub as spaces. the workflow looks like this: - do `openenv init` to start a new environment from a template - build/port your rl environment - use `openenv push` to push the environment to hub. - from there, you can either call the api directly - or, just pull it as a locally running docker container. mmmm can't wait to see rl environments get super open

Hugging Face (Twitter) Best practices for testing your Gradio app 👇https://twitter.com/abidlabs/status/1986528919017955837#m

Hugging Face (Twitter) RT @abidlabs: I'm working on getting more developers to build software with open-weight models and open-source tooling. Not always easy to change entrenched software developer behavior but if we are able to, a lot of good will come out of it. Looking for help, DM me if you're interested!

Hugging Face (Twitter) RT @lunarflu1: 2025 update: We now have 12 different free courses available on @huggingface ! Check it out here: hf.co/learn

Hugging Face (Twitter) RT @jadechoghari: We're introducing EnvHub to LeRobot! Upload simulation environments to the @hugginigface hub, and load them in lerobot, with one line of code ! env = lerobot.make_env("username/my-env", trust_remote_code=True) Back in 2017, @OpenAI called on the community to build Gym environments. Today, we're doing the same for robotics. We're calling researchers, students, hobbyists, labs, and startups to publish complex envs, tasks, and benchmarks on the Hub, so we see how robot policies perform. (in Isaaac, Mujoco, Genesis, etc..) Fill out and submit the form linked in the comments to join the effort!

Hugging Face (Twitter) RT @Wauplin: Using the hf CLI just got insanely easy: uvx hf auth login uvx hf download uvx hf ... Always runs the latest version in an isolated environment. No install or updates required thanks to @astral_sh 's awesome tooling!

Hugging Face (Twitter) RT @hanouticelina: We're definitely not slowing down - it's only been 2 weeks since v1.0, but 𝚑𝚞𝚐𝚐𝚒𝚗𝚐𝚏𝚊𝚌𝚎_𝚑𝚞𝚋 v1.1 is already here packed with a lot of nice features! 🔥 This update brings a faster and cleaner download experience and new powerful features to the Hugging Face CLI! $ 𝚙𝚒𝚙 𝚒𝚗𝚜𝚝𝚊𝚕𝚕 𝚑𝚞𝚐𝚐𝚒𝚗𝚐𝚏𝚊𝚌𝚎_𝚑𝚞𝚋 --𝚞𝚙𝚐𝚛𝚊𝚍𝚎 🧵See what's new in the thread below 👇

Hugging Face (Twitter) RT @Kimi_Moonshot: 🚀 Hello, Kimi K2 Thinking! The Open-Source Thinking Agent Model is here. 🔹 SOTA on HLE (44.9%) and BrowseComp (60.2%) 🔹 Executes up to 200 – 300 sequential tool calls without human interference 🔹 Excels in reasoning, agentic search, and coding 🔹 256K context window Built as a thinking agent, K2 Thinking marks our latest efforts in test-time scaling — scaling both thinking tokens and tool-calling turns. K2 Thinking is now live on kimi.com in chat mode, with full agentic mode coming soon. It is also accessible via API. 🔌 API is live: platform.moonshot.ai 🔗 Tech blog: https://moonshotai.github.io/Kimi-K2/thinking.html 🔗 Weights & code: huggingface.co/moonshotai

Hugging Face (Twitter) RT @lhoestq: Just released today ! Full support for dataset streaming in large scale distributed training With datasets==4.4.1 and huggingface_hub==1.1.0, better than 4.4 and 1.0 These include all the features explained in the blog post https://huggingface.co/blog/streaming-datasets Advanced examples in replies:

Hugging Face (Twitter) RT @andimarafioti: Mixing vision and robotics is incredibly hard, but when it finally works it feels like magic.

Hugging Face (Twitter) RT @linoy_tsaban: adding camera control to the list of things Qwen Image Edit is great at + with a specialized multi-angle LoRA it's even better✨ > rotate the camera > tilt between bird’s-eye and worm’s-eye views > adjust lens (wide, close-up) of course we built a demo for it 🤝📹