huggingface-hub
Hugging Face Hub CLI (hf) — search, download, and upload models and datasets, manage repos, query datasets with SQL, deploy inference endpoints, manage Spaces and buckets.
Best use case
huggingface-hub is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Hugging Face Hub CLI (hf) — search, download, and upload models and datasets, manage repos, query datasets with SQL, deploy inference endpoints, manage Spaces and buckets.
Teams using huggingface-hub should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/huggingface-hub/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How huggingface-hub Compares
| Feature / Agent | huggingface-hub | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Hugging Face Hub CLI (hf) — search, download, and upload models and datasets, manage repos, query datasets with SQL, deploy inference endpoints, manage Spaces and buckets.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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:** The `hf` command replaces the now deprecated `huggingface-cli` command. ## 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](https://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`.
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