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huggingface_hub [v2.3.0] Bucket live-follow, faster `HfFileSystem` listings and more

Update2 days agoUnverifiedAdded Oct 24, 2026

๐Ÿ”„ Keep Bucket listings fresh with live_follow=True HfFileSystem caches directory listings, so files added to a Bucket by another process did not show up until you called invalidate_cache(). With live_follow=True, HfFileSystem opens one background connection per listed Bucket to receive its file changes from the Hub.

Topics: Performance

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Live resource usage on Jobs

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.

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[v2.0.0] The httpx2 release

See MIGRATION GUIDE in docs. ๐Ÿ’” Breaking Change: HTTP stack moves to httpx2 See migration plan in #4802 . huggingface_hub v2.0 replaces its HTTP dependency with httpx2 : clients and transport exceptions now come from httpx2 / httpcore2 instead of httpx / httpcore .

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Preview LeRobot Episodes

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. Dataset listings also show robot type, episode count, and a preview of the first episode.

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Hugging Face is now on Google Cloud Marketplace

Organizations can now subscribe to Hugging Face with their Google Cloud account. Usage for Inference Providers, Inference Endpoints, Spaces, Jobs, storage, and Team or Enterprise seats will appear on their Google Cloud invoice.

Also shipped on Oct 22, 2026

Hugging Face in October 2026