huggingface-hub

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

539|39|Updated May 1, 2026
One-click install
npx skills add https://github.com/Tommy-yw/RunbookHermes --skill huggingface-hub-tommy-yw
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: huggingface-hub
Source: https://github.com/Tommy-yw/RunbookHermes/tree/main/skills/mlops/huggingface-hub
Command: npx skills add https://github.com/Tommy-yw/RunbookHermes --skill huggingface-hub-tommy-yw

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

The Hugging Face Hub Skill simplifies the process of interacting with the Hugging Face Hub, streamlining the management of models, datasets, repositories, and Spaces.

Core Features & Use Cases

  • Model and Dataset Management: Search, download, and upload models and datasets.
  • Repository Management: Create, manage, and duplicate repositories.
  • Inference Endpoints: Deploy and manage inference endpoints for your models.
  • Storage and Automation: Manage buckets, cache, and automate workflows using webhooks.

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 search and download models from the Hugging Face Hub?

To search and download models from the Hugging Face Hub, use this CLI to query repositories and pull model files directly to your local environment. It provides commands for efficient resource retrieval and management.

Can I manage Hugging Face datasets and repositories from the command line?

Yes, you can manage Hugging Face datasets and repositories from the command line. This tool allows you to create, duplicate, upload, and manage repositories for both datasets and models.

What is needed to authenticate with the Hugging Face Hub CLI?

To authenticate with the Hugging Face Hub CLI, you need curl installed and proper environment variables configured. These provide the necessary credentials for secure repository and endpoint management.

Does the Hugging Face Hub CLI support deploying inference endpoints?

Yes, the Hugging Face Hub CLI supports deploying inference endpoints. You can manage and deploy endpoints for your models, alongside automating workflows using webhooks and managing storage buckets.

What's the best way to automate Hugging Face Hub workflows?

The best way to automate Hugging Face Hub workflows is by using webhooks and CLI scripts. This enables automated repository management, model downloads, and storage operations without manual intervention.