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huggingface-hub

Manage machine learning models and datasets on Hugging Face Hub.

2|1|Updated May 10, 2026
Search Tags:#models#mlops#repository#management#datasets#huggingface
One-click install
npx skills add https://github.com/zli5460/hermes-agent-X-Phoenix-Architecture --skill huggingface-hub-zli5460
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: huggingface-hub
Source: https://github.com/zli5460/hermes-agent-X-Phoenix-Architecture/tree/main/skills/mlops/huggingface-hub
Command: npx skills add https://github.com/zli5460/hermes-agent-X-Phoenix-Architecture --skill huggingface-hub-zli5460

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires transformers, huggingface_hub, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables users to efficiently search, download, upload, and manage machine learning models and datasets on Hugging Face Hub, simplifying MLOps workflows.

Core Features & Use Cases

  • Repository Management: Create, delete, clone, or transfer repositories for models and datasets.
  • Content Handling: Search, list, view info, and upload files to the Hugging Face Hub.
  • Use Case: Data scientists can quickly upload new models and datasets, or fetch existing ones for model evaluation or deployment.

Quick Start

Use this Skill to list available models on Hugging Face and fetch details about a specific dataset.

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 repositories for models and datasets?▼

Manage Hugging Face Hub repositories by using this Skill to create, delete, clone, or transfer machine learning models and datasets, streamlining your MLOps workflows.

What is the best way to upload and download machine learning models on Hugging Face?▼

Uploading and downloading machine learning models on Hugging Face is handled by this Skill through API interactions, allowing you to quickly fetch existing models or upload new ones for deployment.

Do I need transformers and huggingface_hub libraries to manage Hugging Face repositories?▼

Yes, you need the transformers and huggingface_hub Python libraries installed, as this Skill requires them for API interactions and file management operations on the Hugging Face Hub.

Can I search and list available models on the Hugging Face Hub for ML deployment?▼

Yes, you can search and list available models on the Hugging Face Hub for ML deployment scenarios, and also view detailed info about specific datasets for model evaluation.

Does this Hugging Face Hub management Skill work for MLOps research and deployment scenarios?▼

This Skill works for MLOps research and deployment scenarios by enabling efficient search, upload, download, and repository management functionalities for machine learning models and datasets.

What are the limitations of using Python libraries for Hugging Face Hub file management?▼

Limitations depend on the transformers and huggingface_hub Python libraries, meaning this Skill is constrained to their current API capabilities for file management and repository operations on the Hugging Face Hub.

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