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huggingface-hub

Manage Hugging Face Hub repositories and sync large files.

Updated Jun 25, 2026
Search Tags:#automation#models#mlops#machine learning#datasets#huggingface
One-click install
npx skills add https://github.com/Rheasilvia/hermes-desktop --skill huggingface-hub-rheasilvia
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: huggingface-hub
Source: https://github.com/Rheasilvia/hermes-desktop/tree/main/skills/mlops/huggingface-hub
Command: npx skills add https://github.com/Rheasilvia/hermes-desktop --skill huggingface-hub-rheasilvia

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill streamlines the interaction with the Hugging Face ecosystem, removing the complexity of manual repository management and large-scale file synchronization.

Core Features & Use Cases

  • Repository Management: Create, duplicate, and sync models or datasets directly from your terminal.
  • Efficient Data Handling: Download and upload large files or entire directories with built-in resumable support.
  • Use Case: A machine learning engineer can use this to quickly sync a local model checkpoint to a Hugging Face repository or perform SQL queries against remote datasets using DuckDB.

Quick Start

Use the huggingface-hub skill to download the latest version of the specified model repository to your local machine.

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 models and datasets directly from my terminal?▼

You can manage Hugging Face models and datasets from your terminal by using this skill to create, duplicate, and sync repositories. It facilitates seamless interaction with the Hugging Face Hub for automated repository operations.

What is the best way to upload large files to a Hugging Face repository?▼

The best way to upload large files to a Hugging Face repository is using this skill's efficient data handling. It supports large-scale file synchronization and downloads or uploads entire directories with built-in resumable support.

Can I perform SQL queries against remote Hugging Face datasets?▼

Yes, you can perform SQL queries against remote Hugging Face datasets using DuckDB. A machine learning engineer can use this skill to directly query remote datasets without needing to download the entire dataset locally first.

Do I need authenticated access to use Hugging Face Hub automation tools?▼

Yes, you need authenticated access to the Hugging Face platform. This skill requires authenticated access and local environment configuration to achieve seamless API integration for remote compute job monitoring and repository management.

How do I sync a local model checkpoint to Hugging Face Hub?▼

To sync a local model checkpoint to a Hugging Face repository, use this skill's automated repository operations. It streamlines interaction with the Hugging Face ecosystem, removing the complexity of manual repository management and large-scale file synchronization.

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