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huggingface-hub

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

1|Updated Apr 12, 2026
Search Tags:#models#cli#mlops#datasets#huggingface#spaces#hf
One-click install
npx skills add https://github.com/cryptopafi/nexusos-skills --skill huggingface-hub-cryptopafi
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: huggingface-hub
Source: https://github.com/cryptopafi/nexusos-skills/tree/main/mlops/huggingface-hub
Command: npx skills add https://github.com/cryptopafi/nexusos-skills --skill huggingface-hub-cryptopafi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a unified command-line interface to search, download, upload, and manage models, datasets, Spaces, and repositories on the Hugging Face Hub, enabling streamlined ML workflow orchestration.

Core Features & Use Cases

  • Search and explore models, datasets, and Spaces on the Hub from the terminal.
  • Download artifacts, upload new assets, and synchronize local work with Hub repositories.
  • Authenticate and switch between tokens to securely access Hub resources in automated pipelines.
  • Query datasets with SQL, deploy inference endpoints, and manage Spaces and buckets as part of end-to-end ML workflows.

Quick Start

Install the Hugging Face CLI and run a basic help command to explore available options.

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 from the command line by using a unified CLI to search, download, upload, and synchronize local work with Hub repositories across your ML workflows.

Can I query Hugging Face datasets with SQL and deploy inference endpoints via CLI?▼

Yes, you can query Hugging Face datasets with SQL and deploy inference endpoints directly via the CLI as part of end-to-end ML operations and deployment workflows.

How do I securely authenticate to access Hugging Face Hub resources in automated pipelines?▼

To securely access Hugging Face Hub resources in automated pipelines, you can authenticate and switch between tokens directly through the command line interface.

How do I search for and explore Hugging Face Spaces and models in a terminal?▼

You can search for and explore Hugging Face Spaces, models, and datasets in a terminal by running CLI commands to discover available Hub assets without leaving the console.

What is the best way to upload new assets and synchronize local work with Hugging Face repositories?▼

The best way to upload new assets and synchronize local work with Hugging Face repositories is using a dedicated CLI that streamlines versioning and repository management for ML ops.

Does Hugging Face CLI support managing Spaces and buckets for ML workflows?▼

Yes, the Hugging Face CLI supports managing Spaces and buckets, enabling streamlined end-to-end ML workflow orchestration and deployment directly from the command line.

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