huggingface-hub
Hugging Face Hub CLI (hf) — 모델/데이터셋 검색, 다운로드, 업로드, Space 관리
Hugging Face
MIT
Hugging Face CLI (hf) Reference Guide
The hf command is the modern command-line interface for interacting with the Hugging Face Hub, providing tools to manage repositories, models, datasets, and Spaces.
IMPORTANT: Thehfcommand replaces the now deprecatedhuggingface-clicommand.
Quick Start
* Installation:
curl -LsSf https://hf.co/cli/install.sh | bash -s* Help: Use
hf --help to view all available functions and real-world examples.* Authentication: Recommended via
HF_TOKEN environment variable or the --token flag.Core Commands
General Operations
*
hf download REPO_ID: Download files from the Hub.*
hf upload REPO_ID: Upload files/folders (recommended for single-commit).*
hf upload-large-folder REPO_ID LOCAL_PATH: Recommended for resumable uploads of large directories.*
hf sync: Sync files between a local directory and a bucket.*
hf env / hf version: View environment and version details.Authentication (hf auth)
*
login / logout: Manage sessions using tokens from huggingface.co/settings/tokens.*
list / switch: Manage and toggle between multiple stored access tokens.*
whoami: Identify the currently logged-in account.Repository Management (hf repos)
*
create / delete: Create or permanently remove repositories.*
duplicate: Clone a model, dataset, or Space to a new ID.*
move: Transfer a repository between namespaces.*
branch / tag: Manage Git-like references.*
delete-files: Remove specific files using patterns.Specialized Hub Interactions
Datasets & Models
* Datasets:
hf datasets list, info, and parquet (list parquet URLs).* SQL Queries:
hf datasets sql SQL — Execute raw SQL via DuckDB against dataset parquet URLs.* Models:
hf models list and info.* Papers:
hf papers list — View daily papers.Discussions & Pull Requests (hf discussions)
* Manage the lifecycle of Hub contributions:
list, create, info, comment, close, reopen, and rename.*
diff: View changes in a PR.*
merge: Finalize pull requests.Infrastructure & Compute
* Endpoints: Deploy and manage Inference Endpoints (
deploy, pause, resume, scale-to-zero, catalog).* Jobs: Run compute tasks on HF infrastructure. Includes
hf jobs uv for running Python scripts with inline dependencies and stats for resource monitoring.* Spaces: Manage interactive apps. Includes
dev-mode and hot-reload for Python files without full restarts.Storage & Automation
* Buckets: Full S3-like bucket management (
create, cp, mv, rm, sync).* Cache: Manage local storage with
list, prune (remove detached revisions), and verify (checksum checks).* Webhooks: Automate workflows by managing Hub webhooks (
create, watch, enable/disable).* Collections: Organize Hub items into collections (
add-item, update, list).Advanced Usage & Tips
Global Flags
*
--format json: Produces machine-readable output for automation.*
-q / --quiet: Limits output to IDs only.Extensions & Skills
* Extensions: Extend CLI functionality via GitHub repositories using
hf extensions install REPO_ID.* Skills: Manage AI assistant skills with
hf skills add.