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Today, we are introducing SmolVLA: a 450M open-source vision-language action model. Best-in-class performance and inference speed! And the best part? We trained it using all the open-source LeRobot datasets in the Hugging Face hub! But how? 🫳🏀

Qwen just dropped its new embedding model on Hugging Face! Qwen3-Embedding offers a range of sizes (0.6B, 4B, 8B) for text embedding & reranking, achieving SOTA performance on MTEB.

🤗The future of ML is accessible & collaborative 🤝 We’ve partnered with Hugging Face to add “Open in Colab” support for all models on the Hugging Face Hub. Now you can directly launch a Colab notebook from any model card, making it easier than ever to experiment with and

Hands down the most impressive demo of humanoid robots I've seen so far Transformers will literally transform the world

Unrelated, but something I've been blown away by: the new AI feature in Google Pixel phones to just indicate something on the screen and then perform a search is pretty cool E.g. here I can immediately check out his Google Scholar

The Huggingface datasets package is one of the best, most convenient pieces of software that I use everyday for processing my datasets

Yet millions and millions of people use ChatGPT for coding, simply cause they have never heard about Claude or Gemini

Is OpenAI dropping the price of o3 by 80% because they saw too little demand? I haven't used o3 nor GPT-4.1 personally so far actually. Claude and Gemini are my go to's in Cursor

Check out the 999 open models that Google has released on Hugging Face: huggingface.co/google (Comparative numbers: 387 for Microsoft, 33 for OpenAI, 0 for Anthropic).

Dolphin: new OCR model by ByteDance with MIT license 🐬 the model first detects element in the layout (table, formula etc) and then parses each element in parallel for generation ⤵️ model and demo is on Hugging Face Hub 🤗

Participating at the LeRobot worldwide hackathon today in Paris 🇫🇷 Very cool to learn about VLAs and training your own 🤗😎