huggingface-hub

Manage repositories, models, datasets, and Spaces on the Hugging Face Hub.

Updated Mar 29, 2026
One-click install
npx skills add https://github.com/shuff57/agent-evo --skill huggingface-hub-shuff57
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: huggingface-hub
Source: https://github.com/shuff57/agent-evo/tree/main/skills/.archive/topics-2026-05-10/mlops/huggingface-hub
Command: npx skills add https://github.com/shuff57/agent-evo --skill huggingface-hub-shuff57

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Manages models, datasets, and Spaces within the Hugging Face Hub, simplifying model discovery, deployment, and collaboration.

Core Features & Use Cases

  • Model and Dataset Management: Search, download, upload, and organize models and datasets.
  • Inference Endpoints: Deploy models as endpoints for easy inference.
  • Collaboration: Create and manage Spaces for collaborative projects.
  • Use Case: Use this Skill to find a suitable pre-trained language model, upload your custom datasets, and set up an endpoint for quick inferences without leaving the command line.

Quick Start

Search for models related to "natural language processing" using the hf models list command.

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?

Hugging Face Hub model and dataset management is handled through command line scripts that search, download, upload, and organize repositories directly from your terminal environment.

What is needed to automate Hugging Face Hub workflows for machine learning?

Automating Hugging Face Hub workflows for machine learning requires internet access and a valid Hub account to authenticate repository, model, dataset, and Spaces management tasks.

Can I deploy models as inference endpoints on the Hugging Face Hub?

Yes, you can deploy models as inference endpoints on the Hugging Face Hub to easily run inferences, automating the deployment phase of your machine learning research and development workflow.

How do I search for pre-trained natural language processing models on Hugging Face?

You search for pre-trained natural language processing models on Hugging Face by executing the `hf models list` command to discover suitable models for your research and development.

Does this workflow support creating collaborative Spaces on the Hugging Face Hub?

Yes, the workflow supports creating and managing Spaces on the Hugging Face Hub, enabling seamless collaboration for machine learning projects alongside model and dataset organization.