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huggingface-hub

Manage models, datasets, and repositories on the Hugging Face Hub.

Updated Jun 17, 2026
Search Tags:#models#mlops#datasets#huggingface#hub#hf
One-click install
npx skills add https://github.com/Brilly-Bohyun/skill-repository --skill huggingface-hub-brilly-bohyun
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: huggingface-hub
Source: https://github.com/Brilly-Bohyun/skill-repository/tree/main/mlops/huggingface-hub
Command: npx skills add https://github.com/Brilly-Bohyun/skill-repository --skill huggingface-hub-brilly-bohyun

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires huggingface-cli, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the process of interacting with the Hugging Face Hub, allowing users to efficiently search, download, upload, and manage models and datasets.

Core Features & Use Cases

  • Model and Dataset Management: Search, download, upload, and manage models and datasets from the Hugging Face Hub.
  • Authentication: Manage sessions using tokens and view environment and version details.
  • Repository Management: Create, delete, duplicate, move, branch, tag, and manage repositories.
  • Specialized Interactions: Execute SQL queries on datasets, manage discussions and pull requests, deploy and manage inference endpoints, run compute jobs, manage storage and automation, and more.
  • Use Case: For a data scientist looking to quickly access and manage the latest models and datasets for their research or project.

Quick Start

Use the huggingface-hub skill to download a model from 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 models and datasets from the command line?▼

You can manage Hugging Face Hub models and datasets by using this Skill to execute repository operations, search, download, and upload data directly. It requires Python and the Hugging Face CLI to handle interactions and manage your sessions.

Can I run SQL queries on Hugging Face datasets?▼

Yes, you can run SQL queries on Hugging Face datasets. This Skill supports specialized interactions that allow you to execute SQL queries directly against datasets hosted on the Hub for efficient data analysis.

Do I need the huggingface-cli to manage Hub authentication and sessions?▼

Yes, the huggingface-cli is a required dependency to manage Hugging Face Hub authentication. You need it to manage sessions using tokens and view environment and version details for your interactions.

What's the best way to deploy inference endpoints and run compute jobs on the Hugging Face Hub?▼

The best way to deploy inference endpoints and run compute jobs is through this Skill's specialized hub interactions. It provides tools to deploy and manage inference endpoints, run compute jobs, and manage storage and automation.

How do I create, delete, or duplicate Hugging Face repositories?▼

You can create, delete, duplicate, move, branch, and tag Hugging Face repositories using this Skill's repository management features. It streamlines these operations alongside managing discussions and pull requests.

Can I manage discussions and pull requests on the Hugging Face Hub?▼

Yes, you can manage discussions and pull requests on the Hugging Face Hub. This Skill provides specialized interactions to handle discussions, pull requests, and other repository management tasks efficiently.

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