Keep track of latest changes on the Hugging Face Hub
Decision models now have their own decision-model tag, with a dedicated icon on model pages and a filter in the Misc section of the Models page. GGUF decision models are tagged automatically from their llama.cpp metadata, so new conversions are picked up as soon as they're uploaded.
You can now add your P(doom) to your Hugging Face profile: your estimated probability of AI causing an existential catastrophe. Set it from your profile.
Your answer also contributes to a community survey on AI risk perception. Only aggregated, anonymized results will be published, in two weeks.
The job page has a new Resources panel next to the logs. While your job runs, it shows live CPU, RAM, GPU and VRAM usage, updated every couple of seconds.
LeRobot datasets now open with an episode preview on the dataset page. Every camera plays on one shared transport, so you can scrub through an episode and see each angle at the same moment, and the episode list beside it previews each take on hover.
Dataset listings show it too: a robotics dataset now carries its robot type, its episode count and a preview of its first episode, so you can tell what's inside before opening it.
Browse them all at https://huggingface.co/datasets?other=LeRobot
Organizations can now subscribe with their Google Cloud account. Inference Providers, Inference Endpoints, Spaces, Jobs, storage and Team or Enterprise seats all land on the Google Cloud invoice they already pay, with no new vendor to onboard and no credit card.
It works like the AWS Marketplace integration: subscribe from the Google Cloud Marketplace listing, pick the organization to link, and usage moves to your cloud bill once we validate the subscription. See the billing documentation for details.
