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huggingface-hub

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

Updated Mar 26, 2026
Search Tags:#models#cli#datasets#huggingface#spaces#hub#hf
One-click install
npx skills add https://github.com/cloudliness/Hermes-Autonomous-AI-Agent-Dialed-In-For-Windows-11 --skill huggingface-hub-cloudliness
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: huggingface-hub
Source: https://github.com/cloudliness/Hermes-Autonomous-AI-Agent-Dialed-In-For-Windows-11/tree/main/skills/mlops/huggingface-hub
Command: npx skills add https://github.com/cloudliness/Hermes-Autonomous-AI-Agent-Dialed-In-For-Windows-11 --skill huggingface-hub-cloudliness

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates management and orchestration of Hugging Face Hub resources via the CLI, enabling teams to discover, download, upload, and deploy models, datasets, and Spaces with minimal friction.

Core Features & Use Cases

  • Discover, download, and upload models and datasets using the hf CLI.
  • Manage repositories, Spaces, and inference endpoints across projects and environments.
  • Automate end-to-end workflows for collaboration, deployment, and monitoring of hub assets.

Quick Start

Install the Hugging Face CLI and run hf help to begin managing hubs, 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 repos and models from the command line?▼

You can manage Hugging Face Hub repos and models by installing the hf CLI, which allows you to search, download, upload, and orchestrate resources directly. It provides structured output for automating ML workflows.

Can I automate downloading and uploading datasets to Hugging Face Spaces?▼

Yes, you can automate downloading and uploading datasets to Hugging Face Spaces. The CLI supports end-to-end workflow automation for discovering, deploying, and managing hub assets across local and cloud environments.

What do I need to start managing Hugging Face inference endpoints with the CLI?▼

To manage Hugging Face inference endpoints, you need the hf CLI installed and valid credentials. Once configured, you can monitor and orchestrate endpoints across your projects and environments.

What is the best way to streamline ML workflows for Hugging Face models?▼

The best way to streamline ML workflows for Hugging Face models is using the hf CLI to automate resource management. It enables teams to discover, download, and deploy models with minimal friction.

Does the Hugging Face CLI support structured output for pipeline automation?▼

Yes, the Hugging Face CLI supports structured output for pipeline automation. It parses commands and returns structured data, enabling seamless integration into automated deployment and monitoring pipelines.

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