huggingface-hub

Search, download, upload, and query models and datasets on Hugging Face Hub.

9|3|Updated May 18, 2026
One-click install
npx skills add https://github.com/jordanhubbard/mac --skill huggingface-hub-jordanhubbard
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: huggingface-hub
Source: https://github.com/jordanhubbard/mac/tree/main/src/mac/_hermes/skills/mlops/huggingface-hub
Command: npx skills add https://github.com/jordanhubbard/mac --skill huggingface-hub-jordanhubbard

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

The Skill Unit automates tasks for interacting with Hugging Face Hub, enabling the efficient management of models, datasets, and Spaces.

Core Features & Use Cases

  • Search/Download/Upload Models and Datasets: Quickly search for and manage models and datasets from the Hub.
  • Model/Dataset Information: Obtain details on models and datasets directly via CLI commands.
  • Authentication Management: Handle authentication and access tokens for Hugging Face services.

Quick Start

Download the latest model by running: hf download REPO_ID.

Frequently Asked Questions about huggingface-hub

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

FAQPage Schema
How do I download models and datasets from the Hugging Face Hub via CLI?

To download Hugging Face models and datasets, execute the `hf download REPO_ID` command. This directly fetches the specified repository files from the Hub to your local environment for immediate machine learning use.

Can I search for machine learning models and datasets directly from the command line?

Yes, you can search for machine learning models and datasets directly from the command line. The Skill provides functionalities to query and retrieve detailed information about available Hub repositories without leaving the terminal.

How do I manage authentication and access tokens for Hugging Face services?

Managing Hugging Face authentication involves configuring your access tokens through the CLI. The Skill includes authentication management features to securely handle credentials required for downloading private models or uploading new datasets.

What is the best way to automate uploading machine learning datasets to the Hugging Face Hub?

Automating Hugging Face dataset uploads is best handled using CLI commands designed for model and dataset management. The Skill streamlines pushing local files to the Hub, enabling efficient repository updates for machine learning workflows.

Does this CLI approach require any external dependencies for Hugging Face model management?

No external dependencies are required for this Hugging Face model management approach. The Skill operates independently using built-in scripts and references to interact directly with the Hub API.