huggingface-hub

Manage models, datasets, and Spaces on Hugging Face Hub via CLI.

Updated Mar 24, 2026
One-click install
npx skills add https://github.com/1thirteeng3/greenmoire --skill huggingface-hub-1thirteeng3
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: huggingface-hub
Source: https://github.com/1thirteeng3/greenmoire/tree/main/integrations/hermes-agent/skills/mlops/huggingface-hub
Command: npx skills add https://github.com/1thirteeng3/greenmoire --skill huggingface-hub-1thirteeng3

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Hugging Face Hub CLI enables researchers and engineers to search, download, upload, and manage models, datasets, spaces, and repositories directly from the command line, accelerating model iteration and deployment.

Core Features & Use Cases

  • Search and manage models and datasets on the Hugging Face Hub from the terminal.
  • Upload, download, and synchronize repositories, datasets, and Spaces, including large assets.
  • Deploy inference endpoints and manage Spaces, buckets, and hosted resources from scripts or CI workflows.
  • Use case: A data scientist updates a model, pushes it to the Hub, and quickly deploys an API endpoint for a demo.

Quick Start

Install the Hugging Face CLI and authenticate, then begin by listing your models and datasets.

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 repositories from the command line?

You can manage Hugging Face Hub repositories directly from the command line by using this Skill to search, download, upload, and synchronize models, datasets, and Spaces without leaving your terminal environment.

Can I deploy Hugging Face inference endpoints via the CLI?

Yes, you can deploy Hugging Face inference endpoints and manage hosted Spaces or buckets via the CLI, allowing you to quickly launch API endpoints for demos directly from your scripts or CI workflows.

Do I need an HF_TOKEN to upload models to the Hugging Face Hub?

Yes, uploading models to the Hugging Face Hub requires network access and authentication via an HF_TOKEN to securely push your assets and synchronize repositories from the CLI.

What is the best way to explore Hugging Face datasets in the terminal?

The best way to explore Hugging Face datasets in the terminal is by using this Skill to run SQL queries directly against them, enabling fast data exploration and management from your local environment.

Does this CLI approach work for uploading large model assets to the Hub?

Yes, this CLI approach works for uploading and downloading large model assets to the Hugging Face Hub, synchronizing heavy files efficiently while managing your repositories directly from the terminal.