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hugging-science

Discover and load Hugging Face AI/ML resources for scientific domains.

Updated May 24, 2026
Search Tags:#models#genomics#datasets#protein design#spaces#hugging face#scientific ml
One-click install
npx skills add https://github.com/Estrella-231/Mathematical_modeling_tongmeng --skill hugging-science-estrella-231
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hugging-science
Source: https://github.com/Estrella-231/Mathematical_modeling_tongmeng/tree/main/.agents/skills/hugging-science
Command: npx skills add https://github.com/Estrella-231/Mathematical_modeling_tongmeng --skill hugging-science-estrella-231

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

It helps users discover and immediately apply high-quality datasets, models, and interactive demos for scientific machine learning, avoiding low-signal generic search.

Core Features & Use Cases

  • Curation across science domains: Provides a topic-based catalog covering areas like biology, genomics, chemistry, climate, materials science, physics, mathematics, and scientific reasoning.
  • Actionable resource discovery: Locates Hugging Face dataset/model entries and relevant methodologies so you can load and run them with standard tooling.
  • Space-first execution for scientific demos: Guides you to use Hugging Face Spaces (via gradio_client) for one-shot scientific generation tasks without managing weights.

Quick Start

Use the hugging-science skill to find a dataset or model for your scientific ML task and then load it via the Hugging Face datasets/transformers APIs or call the matching Space when available.

Frequently Asked Questions about hugging-science

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

FAQPage Schema
How do I find curated scientific ML datasets and models on Hugging Face?▼

To find curated scientific ML datasets and models, this tool fetches a topic-based catalog covering domains like biology, genomics, and materials science to locate high-signal Hugging Face entries for immediate research use.

Can I run scientific generation tasks without managing model weights?▼

Yes, you can run scientific generation tasks without managing weights by using Hugging Face Spaces via gradio_client for one-shot programmatic interaction and domain-specific generation.

What's the best way to load discovered scientific ML resources for fine-tuning?▼

The best way to load discovered scientific ML resources for fine-tuning is by selecting the relevant catalog entry and loading it via standard Hugging Face datasets and transformers APIs.

Do I need an API token to use Hugging Face Spaces for scientific demos?▼

You need an HF_TOKEN for proper API usage and authentication when executing Hugging Face workflows, loading models for inference, or interacting with Spaces if the specific scientific demo requires authentication.

What scientific domains are covered by the Hugging Science catalog?▼

The Hugging Science catalog covers scientific domains including biology, genomics, chemistry, climate, materials science, physics, mathematics, and scientific reasoning for machine learning applications.

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