Hugging Face Release Notes
Last updated: Apr 11, 2026
- Apr 10, 2026
- Date parsed from source:Apr 10, 2026
- First seen by Releasebot:Apr 11, 2026
ZeroGPU overquota
Hugging Face lets PRO users keep using ZeroGPU Spaces beyond quota with prepaid credits at $1 per 10 minutes.
PRO users can now continue using ZeroGPU Spaces above their daily included quota.
Over-quota usage requires purchasing pre-paid credits. The price is $1 per 10 minutes of over-quota ZeroGPU usage.
Original source Report a problem - Apr 7, 2026
- Date parsed from source:Apr 7, 2026
- First seen by Releasebot:Apr 7, 2026
- Modified by Releasebot:Apr 11, 2026
Agent Traces on the Hub
Hugging Face now supports uploading agent traces to Datasets with auto-detection and a dedicated viewer for sessions, turns and tool calls.
You can now upload traces from your agents (Claude Code, Codex, Pi) directly to Hugging Face Datasets. The Hub auto-detects trace formats and tags your dataset as Traces, with a dedicated viewer for browsing sessions, turns, tool calls, and model responses.
No preprocessing needed, just upload the JSONL files from your local session directories as-is:
Agent
Local session directory
- Claude Code
~/.claude/projects - Codex
~/.codex/sessions - Pi
~/.pi/agent/sessions
Useful for sharing debugging workflows, benchmarking agent behavior across models, or building training data from real coding sessions.
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- Mar 31, 2026
- Date parsed from source:Mar 31, 2026
- First seen by Releasebot:Apr 1, 2026
Mar 31, 26
Hugging Face adds persistent HF Buckets as Space storage for model weights, uploads, and shared files.
You can now mount HF Buckets as persistent storage volumes directly in your Spaces. In Space settings, the new "Storage Buckets" section lets you create or select a bucket, set the mount path and access mode. You can also attach a bucket when creating a new Space.
Useful for caching model weights, storing user uploads, or sharing files between Spaces under the same organization.
Original source Report a problem - Mar 24, 2026
- Date parsed from source:Mar 24, 2026
- First seen by Releasebot:Mar 25, 2026
- Modified by Releasebot:Apr 1, 2026
Mar 24, 26
Hugging Face adds local filesystem mounts for Hub storage buckets, models and datasets with read-write or read-only access.
You can now attach any Storage Bucket, model or dataset from the Hub as a local filesystem. It allows you to attach remote storage that is 100x bigger than your local machine's disk. This is also perfect for Agentic storage! Read-write for Storage Buckets, read-only for models and datasets.
Get started by installing hf-mount from the GitHub repo: https://github.com/huggingface/hf-mount
Original source Report a problem - Mar 20, 2026
- Date parsed from source:Mar 20, 2026
- First seen by Releasebot:Mar 21, 2026
Mar 20, 26
Hugging Face adds protected Spaces to keep apps private while still sharing a public URL for demos and internal tools.
You can now set your Spaces to protected, making them private on Hugging Face while still keeping their URL publicly accessible.
This is useful for deploying production-ready demos or internal tools without exposing model weights, prompts, or proprietary logic.
Combined with custom domains you can also host your website on Hugging Face.
Original source Report a problem - Mar 18, 2026
- Date parsed from source:Mar 18, 2026
- First seen by Releasebot:Mar 20, 2026
Mar 18, 26
Hugging Face adds Markdown Papers pages and a new AI agent skill for paper search and Hub discovery.
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 — 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.
Original source Report a problem - Mar 18, 2026
- Date parsed from source:Mar 18, 2026
- First seen by Releasebot:Mar 20, 2026
Mar 18, 26
Hugging Face adds a Repositories page in settings to visualize storage use and help users manage repository resources.
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.
Original source Report a problem - Mar 10, 2026
- Date parsed from source:Mar 10, 2026
- First seen by Releasebot:Mar 20, 2026
Mar 10, 26
Hugging Face adds mutable storage Buckets on the Hub for fast, deduplicated uploads and downloads with CLI, API and CDN support.
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.
Original source Report a problem - Feb 26, 2026
- Date parsed from source:Feb 26, 2026
- First seen by Releasebot:Mar 20, 2026
Feb 26, 26
Hugging Face adds Public Storage add-ons with Xet deduplication and flexible billing for 1 TB to 50 TB plans.
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.
Original source Report a problem - Feb 10, 2026
- Date parsed from source:Feb 10, 2026
- First seen by Releasebot:Mar 20, 2026
Feb 10, 26
Hugging Face expands full-text search with organization, user, and repository filters in the UI and API.
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.
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