huggingface-hub

Manage Hugging Face Hub repositories, datasets, and inference endpoints.

Updated May 4, 2026
One-click install
npx skills add https://github.com/InverterNetwork/hermes-agent --skill huggingface-hub-inverternetwork
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: huggingface-hub
Source: https://github.com/InverterNetwork/hermes-agent/tree/main/skills/mlops/huggingface-hub
Command: npx skills add https://github.com/InverterNetwork/hermes-agent --skill huggingface-hub-inverternetwork

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 CLI configuration for machine learning workflows.

Core Features & Use Cases

  • Repository Management: Create, delete, and sync models, datasets, or spaces directly from your terminal.
  • Data Operations: Efficiently download large datasets or execute SQL queries against parquet files using DuckDB.
  • Infrastructure Control: Deploy and monitor inference endpoints and manage compute jobs without leaving your development environment.

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 from the terminal?

You can manage Hugging Face models and datasets directly from the terminal by using automated repository synchronization to create, delete, and sync repositories without manual CLI configuration.

What's the best way to download large datasets from the Hugging Face Hub?

The best way to download large datasets from the Hugging Face Hub is using automated large-scale data operations, which streamlines fetching large files directly into your development environment.

Can I query Hugging Face parquet files using DuckDB?

Yes, you can query Hugging Face parquet files using DuckDB to execute SQL queries directly against parquet datasets, enabling efficient data operations without downloading entire repositories.

Do I need authenticated access to deploy inference endpoints on Hugging Face?

Yes, authenticated access to the Hugging Face platform is required to perform secure repository and compute operations, including deploying and monitoring inference endpoints and managing compute jobs.

How do I deploy and monitor Hugging Face spaces without leaving my development environment?

You can deploy and monitor Hugging Face spaces via infrastructure control commands that manage compute jobs and inference endpoints directly from your terminal, ensuring seamless deployment without environment switching.