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Ritabrata-Chakraborty
Ritabrata-ChakrabortyCOMMUNITY
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hugging-science

Discover and utilize scientific datasets, models, and Spaces via Hugging Face Hub.

Updated Jun 6, 2026
Search Tags:#models#datasets#Hugging Face Hub#scientific datasets#AI/ML research
One-click install
npx skills add https://github.com/Ritabrata-Chakraborty/Claude-Setup --skill hugging-science-ritabrata-chakraborty
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hugging-science
Source: https://github.com/Ritabrata-Chakraborty/Claude-Setup/tree/main/skills/hugging-science
Command: npx skills add https://github.com/Ritabrata-Chakraborty/Claude-Setup --skill hugging-science-ritabrata-chakraborty

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill simplifies the discovery and utilization of scientific datasets, models, and tools in AI/ML, catering to users with domain-specific scientific tasks.

Core Features & Use Cases

  • Domain-specific Discovery: Access curated scientific resources across 17 domains like biology, chemistry, and climate.
  • Resource Utilization: Execute scientific models, fetch datasets, and use interactive Spaces.
  • Use Case: When a biologist needs to fine-tune a model on genomic data or a chemist requires a specific drug-target affinity prediction tool.

Quick Start

Activate the hugging-science skill and query, "Show me protein language models for biology."

Frequently Asked Questions about hugging-science

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

FAQPage Schema
How do I find scientific datasets and models on the Hugging Face Hub?▼

To find scientific datasets and models on the Hugging Face Hub, you can query across 17 scientific domains like biology and chemistry to discover curated resources, interactive Spaces, and domain-specific AI/ML research tools.

Can I use the transformers library to run models for genomic data?▼

Yes, you can use the transformers library alongside the datasets library to fetch genomic data and execute or fine-tune models specifically tailored for biological and other scientific domains.

What Python dependencies do I need to access scientific AI/ML research resources?▼

You need the Python libraries datasets and transformers installed, along with general Hugging Face Hub access, to properly fetch scientific datasets and execute AI/ML models across various research domains.

How do I discover drug-target affinity prediction tools for chemistry research?▼

Discovering drug-target affinity prediction tools involves querying the chemistry domain to surface curated models, datasets, and interactive Spaces specifically designed for chemical AI/ML research and analysis.

Does this approach support climate and biology datasets for machine learning?▼

Yes, this approach supports climate and biology datasets by facilitating the discovery and utilization of AI/ML resources across 17 distinct scientific domains for data analysis and model deployment.

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