hugging-science
Use when the user is doing AI/ML work in a scientific domain such as biology, chemistry, physics, astronomy, climate, genomics, materials, medicine, ecology, energy, engineering, math, drug discovery, protein design, weather modeling, theorem proving, single-cell, or PDE solving. Hugging Science is a curated catalog of scientific datasets, models, blog posts, and interactive Spaces. This skill helps discover and use resources via datasets, transformers, the HF Inference API, gradio_client, and methodology citations.
- Version
- 1.2
Pinned to revision de66e10cd0c8, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/hugging-science/SKILL.md
- skills/hugging-science/references/flagship-resources.md
- skills/hugging-science/references/topics-and-slugs.md
- skills/hugging-science/references/using-datasets.md
- skills/hugging-science/references/using-models.md
- skills/hugging-science/references/using-spaces.md
- skills/hugging-science/scripts/fetch_catalog.py
Every link opens the file at its source, pinned to the revision this page describes.