huggingface-hub

Manage Hugging Face Hub repositories, models, datasets, and files from the command line.

Updated May 14, 2026

Search Tags:#mlops #dataset management #hugging face #hf cli #model hub #repository operations

Ready to run

npx skills add https://github.com/SethyPagna/Secretary-Jarvis --skill huggingface-hub-sethypagna

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: huggingface-hub
Source: https://github.com/SethyPagna/Secretary-Jarvis/tree/main/src/capabilities/skills/mlops/huggingface-hub
Command: npx skills add https://github.com/SethyPagna/Secretary-Jarvis --skill huggingface-hub-sethypagna

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It removes the friction of managing Hugging Face Hub resources from the web interface or ad hoc scripts, so you can automate model and dataset workflows from one consistent command-line interface.

Core Features & Use Cases

Repository Management: Create, duplicate, move, branch, tag, and delete Hub repositories from the terminal.
Data and Model Operations: Search, inspect, download, upload, sync, and query datasets or models with reproducible commands.
Operations and Automation: Control authentication, webhooks, endpoints, jobs, Spaces, buckets, cache, and collections for MLOps pipelines.
Use Case: A researcher can authenticate once, download a model snapshot, inspect a dataset, and publish updated artifacts without leaving the shell.

Quick Start

Use the Hugging Face Hub skill to authenticate with a token, inspect the target repository, and choose the hf command that matches your model, dataset, or Space task.

Frequently Asked Questions about huggingface-hub

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I manage Hugging Face Hub repositories from the command line?▼

You can manage Hugging Face Hub repositories from the command line by using this Skill to create, duplicate, move, branch, tag, and delete repos. It replaces web interface clicks with reproducible terminal commands for MLOps automation.

Can I automate Hugging Face dataset and model downloads without writing custom scripts?▼

Yes, you can automate dataset and model downloads without custom scripts by running precise hf subcommands. The Skill handles file transfer, snapshot retrieval, and artifact uploads directly from your shell.

What's the best way to control Hugging Face Spaces and endpoints in MLOps pipelines?▼

The best way to control Spaces and endpoints in MLOps pipelines is through this CLI Skill. It manages webhooks, jobs, buckets, cache, and collections, providing JSON-friendly output for reliable scripted operations.

Do I need a token to authenticate Hugging Face CLI operations for automation?▼

Yes, you need a token to authenticate Hugging Face CLI operations. The Skill requires token-based authentication to securely manage repositories, upload artifacts, and interact with Hub resources in automated workflows.

How does command line Hugging Face Hub management compare to using the web interface?▼

Command line management removes the friction of the web interface by offering consistent, scriptable commands for repository administration and data operations. It enables researchers to authenticate once and manage entire workflows without leaving the shell.

Why should I use precise hf subcommands for Hugging Face repository operations?▼

You should use precise hf subcommands to ensure reliable scripted operations. The Skill requires exact subcommand selection for tasks like file transfer and repository administration to guarantee consistent, JSON-friendly outputs in automated environments.