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hugging-face

Generate images, text, and embeddings via Hugging Face models.

1|Updated Mar 5, 2026
Search Tags:#image generation#ai#translation#text summarization#hugging face
One-click install
npx skills add https://github.com/MCERQUA/jam-skills --skill hugging-face
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hugging-face
Source: https://github.com/MCERQUA/jam-skills/tree/main/huggingface
Command: npx skills add https://github.com/MCERQUA/jam-skills --skill hugging-face

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires curl, and includes scripts (resource) components.

What problem does it solve?

This Skill allows users to easily generate images, videos, text, embeddings, classify, summarize, translate, and perform other AI tasks using 400K+ open-source models from Hugging Face, through the HF Router API.

Core Features & Use Cases

  • Model Generation & Inference: Run AI models for various tasks like image generation, text summarization, translation, etc.
  • Image Generation: Generate images from text descriptions using open-source models.
  • Text Summarization: Summarize long texts into shorter versions.
  • Translation: Translate text from one language to another.
  • Use Case: Use the skill to create a professional-looking product image from a simple text description.

Quick Start

Use the 'hugging-face' skill to generate an image from the text 'a modern, sleek smartphone design'.

Frequently Asked Questions about hugging-face

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

FAQPage Schema
How do I generate images from text descriptions using open-source AI models?▼

To generate images from text descriptions, you can use this Skill to run inference on Hugging Face models. It sends your text prompts to open-source models via the HF Router API to produce the requested visual output.

Can I use Hugging Face models for text summarization and translation?▼

Yes, you can use Hugging Face models for text summarization and translation. The Skill enables you to run inference on 400K+ open-source models to summarize long texts or translate content between languages.

What do I need to access Hugging Face inference APIs for AI generation tasks?▼

You need the curl command-line tool installed, along with valid Hugging Face authentication credentials. These prerequisites allow the Skill scripts to access and run inference on the available open-source models.

How does the Hugging Face API handle AI model inference for different tasks?▼

The Hugging Face API handles inference by routing your requests through the HF Router API to the appropriate open-source models. This allows you to perform diverse tasks like image generation, classification, and text processing.

Are there limitations when running AI inference on 400K+ open-source models?▼

Limitations depend on model availability and your Hugging Face access permissions. While the Skill supports running inference on 400K+ models, you must ensure you have the proper authentication and access rights for the specific model you choose.

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