Keep track of latest changes on the Hugging Face Hub
When AI agents such as Cursor or Claude Code fetch a Hugging Face Papers page, Markdown versions are served automatically, saving tokens and improving efficiency â e.g. huggingface.co/papers/2601.15621.md.
A new hugging-face-paper-pages skill for AI agents lets agents search papers by title, author, or semantic similarity, read their content, and discover linked models, datasets, and Spaces on the Hub.
User and organization settings now include a Repositories page to visualize repository storage consumption. This update makes it easier to monitor usage, understand how storage is distributed across repositories, and manage resources more effectively.
Buckets bring mutable, non-versioned object storage to the Hub, available for users and organizations using your existing storage plan. Upload training checkpoints, intermediate artifacts, logs and processed data shards without version control overhead. Manage them from the hf CLI, Python, JavaScript or the Hub API directly.
Built on Xet, uploads and downloads are deduplicated and fast. Buckets also support CDN pre-warming to place your data close to compute (AWS and GCP are supported at launch).
Read the blog post and the Storage Buckets Documentation to get started.
Public Storage add-ons are available starting at $12 per TB / month. Storage is powered by Xet deduplication to optimize uploads, downloads, and space usage.
You can purchase, upgrade, or cancel storage plans (1 TB to 50 TB) from your billing settings.
Full-text search now supports filtering by organizations, users, or specific repositories, available both in the UI and through the API. Combine multiple filters using OR logic to refine your results, and share searches easily with filters persisted directly in the URL.
