choosing-openmed-models

npx skills add maziyarpanahi/openmed --skill choosing-openmed-models --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

# 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 ```bash pip install openmed # registry queries work without the [hf] extra ``` ## Quick start: browse categories, then pick ```python 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

pip install openmed         # registry queries work without the [hf] extra
openmed models list                 # registry keys (add --include-remote to query the Hub)
openmed models info <registry-key>  # max sequence length for a key
openmed analyze --text "Stage III adenocarcinoma." --model oncology_detection_bigmed_278m