Choosing Openmed Models
Discover and pick the right OpenMed model for a clinical or biomedical task, domain, or...
Install
npx skills add maziyarpanahi/openmed --skill choosing-openmed-models -g -a claude-code -y- Repository
- maziyarpanahi/openmed5.8k
- Category
- Engineering
- Updated
- 4d ago
- License
- Apache-2.0
- Context cost
- Mediumabout 1,744 tokens
- Runs scripts
- No, instructions only
What it does
Discover and pick the right OpenMed model for a clinical or biomedical task, domain, or language. Use when the user asks which OpenMed model to use, wants to list model categories, find a Disease vs Oncology vs Privacy/PII model, get a PII model for a specific language, search models by size or task, or inspect a model's labels and metadata before loading. Covers list_model_categories, get_models_by_category, get_pii_models_by_language, get_default_pii_model, search_models(ModelQuery(...)), get_model_info, and the openmed models CLI. Pairs with loading-openmed-models.
Choosing OpenMed Models
OpenMed ships a registry of clinical and biomedical NER models grouped into 12 categories. Never hardcode a model list, query the registry at runtime so your code stays correct as models are added. This skill helps you go from "I need to find diseases in Spanish discharge notes" to a concrete model key.
When to use
- The user knows the task (find diseases / tumors / PHI) but not the model.
- You need the right PII model for a language (es, fr, de, …).
- You want to filter models by size, task, or tier before loading.
- You want to inspect a model's labels, params, and license first.
Once you have a key, hand off to loading-openmed-models to load it.
Install
pip install openmed # registry queries work without the [hf] extra
Quick start: browse categories, then pick
import openmed
# 1) The 12 categories
openmed.list_model_categories()
# ['Medical', 'Privacy', 'Anatomy', 'Hematology', 'Chemical', 'Disease',
# 'Genomics', 'Oncology', 'Species', 'Pathology', 'Pharmaceutical', 'Protein']
# 2) Models in a category -> list[ModelInfo]
for m in openmed.get_models_by_category("Disease"):
print(m.model_id, "|", m.size_category, "|", m.entity_types)
# 3) Inspect one model before loading
info = openmed.get_model_info("OpenMed/OpenMed-NER-DiseaseDetect-BigMed-278M")
print(info.display_name, info.task, info.param_count, info.license)
get_models_by_category and get_all_models return ModelInfo objects.
get_all_models() returns a dict[str, ModelInfo] keyed by registry key.
What ModelInfo tells you
Every model exposes (real attributes):
