Update huggingface-hub requirement from <0.21.0,>=0.19.0 to >=0.19.0,<1.10.0 in /backend

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Updates the requirements on huggingface-hub to permit the latest version.

Release notes

Sourced from huggingface-hub's releases.

[v1.9.0] Agent-Aware CLI, Spaces Volumes, and more

🚀 Spaces Volumes: Mount Models, Datasets, and Buckets Directly

Hugging Face Spaces now support mounting volumes, giving your Space direct filesystem access to models, datasets, and storage buckets. This replaces the deprecated persistent storage feature.

from huggingface_hub import HfApi, Volume
api = HfApi()
api.set_space_volumes(
repo_id="username/my-space",
volumes=[
Volume(type="model", source="username/my-model", mount_path="/models", read_only=True),
Volume(type="bucket", source="username/my-bucket", mount_path="/data"),
],
)

Volumes can also be set at creation time via create_repo(space_volumes=...) and duplicate_repo(space_volumes=...), and from the CLI with the --volume / -v flag:

# Create a Space with volumes mounted
hf repos create my-space --type space --space-sdk gradio \
    -v hf://gpt2:/models -v hf://buckets/org/b:/data
Duplicate a Space with volumes
hf repos duplicate org/my-space my-space --type space 
-v hf://gpt2:/models -v hf://buckets/org/b:/data

• Add support for mounted volumes by @​Wauplin in #4018
• Support volumes at repo creation and duplication by @​Wauplin in #4035

🤖 The hf CLI Now Auto-Detects AI Agents and Adapts Its Output

AI coding agents (Claude Code, Cursor, Codex, Copilot, Gemini, ...) increasingly use the hf CLI to interact with the Hub. Until now, the output was designed for humans - ANSI colors, padded tables, emoji booleans, truncated cells - making it hard for agents to parse reliably.

Starting with v1.9, the CLI automatically detects when it's running inside an agent and adapts its output: no ANSI, no truncation, tab-separated tables, compact JSON, full timestamps. No configuration needed - it just works. This is only a first step toward making the hf CLI the primary entry point to the Hugging Face Hub for AI agents!

Agent mode is auto-detected but you can also force a mode explicitly with --format:

hf models ls --limit 5                  # auto-detect
hf models ls --limit 5 --format agent   # force agent-friendly output
hf models ls --limit 5 --format json    # structured JSON
hf models ls --limit 5 --format quiet   # IDs only, great for piping

Here's what an agent sees compared to a human:

... (truncated)

Commits

• b768bb2 Release: v1.9.0
• 9d30ff2 Release: v1.9.0.rc0
• 657b8b9 chore: remove claude.yml workflow file (#4031)
• 38d48d9 [CLI] Migrate models, datasets, spaces, papers to out singleton (#4...
• 4e2337d [CLI] enrich CLI errors with available options and commands (#4034)
• ea1f4b7 Support volumes at repo creation and duplication (#4035)
• 993d645 [FEAT] Support skills from hf skills (#3956)
• bb7dc6e Add HF_HUB_DISABLE_SYMLINKS env variable to force no-symlink cache (#4032)
• 2593ff8 Do not scan CACHEDIR.TAG file in cache (#4036)
• b8d92a2 [Fix] Validate shard filenames in sharded checkpoint index files (#4033)
• Additional commits viewable in compare view

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