huggingface-hub

Manage Hugging Face Hub repositories, models, datasets, and Spaces via the hf CLI.

1|1|Updated Apr 26, 2026
One-click install
npx skills add https://github.com/BermudaLocals/hermes-agent-lite --skill huggingface-hub-bermudalocals
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: huggingface-hub
Source: https://github.com/BermudaLocals/hermes-agent-lite/tree/main/skills/mlops/huggingface-hub
Command: npx skills add https://github.com/BermudaLocals/hermes-agent-lite --skill huggingface-hub-bermudalocals

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Hugging Face Hub users often need to manage repositories, models, datasets, Spaces, and deployment endpoints from the command line; this Skill provides a CLI-driven workflow to streamline those tasks.

Core Features & Use Cases

  • Search, download, and upload models and datasets from the Hub.
  • Manage repositories, datasets, models, Spaces, and deployments with consistent commands.
  • Query datasets with SQL, deploy inference endpoints, and organize resources across teams.

Quick Start

Install the hf CLI, authenticate with your token, and run a quick search to verify access to the Hugging Face Hub.

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 resources from the command line?

You can manage Hugging Face Hub resources from the command line by using the hf CLI to automate workflows for repositories, models, datasets, and Spaces. It provides consistent commands to search, download, and upload assets directly.

Can I deploy inference endpoints and query datasets using the hf CLI?

Yes, the hf CLI supports deploying inference endpoints and querying datasets with SQL. It streamlines these Hub tasks alongside managing models and Spaces through a unified command-line interface.

Do I need to install and authenticate the hf CLI to manage models?

Yes, you must install the hf CLI and authenticate with your token to manage models. This requires access to your Hugging Face account to verify permissions before running commands.

What is the best way to organize Hugging Face models and datasets across teams?

The best way to organize Hugging Face models and datasets across teams is via CLI automation. It allows you to consistently manage repositories and deployments, streamlining project workflows directly from the terminal.

Does this CLI approach work for uploading and downloading repositories?

Yes, this CLI approach works for uploading and downloading repositories. It automates Hub resource management, allowing you to handle datasets, models, and Spaces with consistent command-line operations.

When do I need to use command line commands for Hugging Face Spaces?

You need to use command line commands for Hugging Face Spaces when automating resource management across projects. The CLI enables consistent deployment and organization of Spaces without manual web interface interaction.