huggingface-hub

Manage Hugging Face Hub models and datasets with the hf CLI.

5|1|Updated Mar 24, 2026
One-click install
npx skills add https://github.com/lengoctuong2005/Branding-Focused-Skills --skill huggingface-hub-lengoctuong2005
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: huggingface-hub
Source: https://github.com/lengoctuong2005/Branding-Focused-Skills/tree/main/antigravity/skills/hermes-collection/mlops/huggingface-hub
Command: npx skills add https://github.com/lengoctuong2005/Branding-Focused-Skills --skill huggingface-hub-lengoctuong2005

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires hf-cli, and includes scripts (resource) components.

What problem does it solve?

This Skill simplifies the process of searching, downloading, and uploading models and datasets from the Hugging Face Hub, streamlining machine learning workflows.

Core Features & Use Cases

  • Search and Download Models: Quickly find and download models from the Hugging Face Hub.
  • Upload Models and Datasets: Share your own models and datasets with the community.
  • Manage Spaces: Create and manage interactive spaces for machine learning collaboration.
  • Use Case: For a machine learning engineer looking to leverage the vast repository of pre-trained models on the Hugging Face Hub, this Skill provides a convenient CLI for managing their assets.

Quick Start

Install the hf CLI with curl -LsSf https://hf.co/cli/install.sh | bash -s and use hf download <REPO_ID> to download a model.

Frequently Asked Questions about huggingface-hub

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

FAQPage Schema
How do I download models and datasets from the Hugging Face Hub?

You can download Hugging Face Hub models and datasets by executing the `hf download <REPO_ID>` command via the hf CLI, streamlining machine learning workflows by quickly retrieving required assets.

Can I upload my own machine learning models to the Hugging Face Hub?

Yes, you can upload your own machine learning models and datasets to the Hugging Face Hub to share with the community, using the hf CLI to manage and transfer your assets directly from the command line.

What is the best way to manage Hugging Face Spaces for machine learning collaboration?

The best way to manage Hugging Face Spaces for machine learning collaboration is using the hf CLI, which allows you to create and manage interactive spaces directly alongside your models and datasets.

Do I need to install the hf CLI to search for pre-trained models on the Hugging Face Hub?

Yes, you need to install the hf CLI to search for pre-trained models on the Hugging Face Hub, which can be quickly setup by running `curl -LsSf https://hf.co/cli/install.sh | bash -s`.

Does this Skill support managing both Hugging Face Hub datasets and models?

Yes, this Skill supports managing both Hugging Face Hub datasets and models, allowing machine learning engineers to search, download, and upload assets seamlessly through a unified command line interface.