huggingface-hub

Guide hf CLI operations for searching, downloading, and uploading Hugging Face Hub assets.

Updated Jun 11, 2026
One-click install
npx skills add https://github.com/LamseyahElias/jarvis-cloud-v2 --skill huggingface-hub-lamseyahelias
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: huggingface-hub
Source: https://github.com/LamseyahElias/jarvis-cloud-v2/tree/main/hermes-agent/skills/mlops/huggingface-hub
Command: npx skills add https://github.com/LamseyahElias/jarvis-cloud-v2 --skill huggingface-hub-lamseyahelias

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Streamlines interacting with the Hugging Face Hub by providing a clear CLI reference and workflow guidance for models and datasets.

Core Features & Use Cases

  • hf CLI coverage: search, info, download, upload, and manage models, datasets, and Spaces.
  • Authentication and session management for seamless access across environments.
  • Use Case: Data scientists quickly locate, pull, and publish models or datasets to the Hub, enabling reproducible experiments.

Quick Start

Install the hf CLI and search for a model to begin exploring the Hub.

Frequently Asked Questions about huggingface-hub

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I use the hf CLI to search and download models from the Hugging Face Hub?

To use the hf CLI to search and download models, execute the designated search and download commands provided in this consolidated reference guide. It covers the exact CLI operations needed to locate and pull models for your experiments.

What is the process for authenticating the Hugging Face CLI for uploading datasets?

The process for authenticating the Hugging Face CLI involves token-based authentication and environmental setup. This guide covers session management to ensure seamless access when uploading datasets across Linux, macOS, and Windows.

Can I manage and publish Hugging Face Spaces using the command line interface?

Yes, you can manage and publish Hugging Face Spaces using the command line interface. The hf CLI supports uploading and managing Spaces, allowing you to automate your workflow alongside models and datasets.

Does the Hugging Face Hub CLI work across Linux, macOS, and Windows environments?

Yes, the Hugging Face Hub CLI works across Linux, macOS, and Windows environments. It provides environmental setup guidelines and session management to ensure seamless access to hub assets on all three operating systems.

How do I automate MLOps workflows to push datasets to the Hugging Face Hub?

Automate MLOps workflows to push datasets to the Hugging Face Hub by integrating hf CLI upload commands into your scripts. This guide covers workflow automation for managing and publishing hub assets automatically.