Token Classification
GLiNER
PyTorch
English
entity recognition
named-entity-recognition
zero-shot
zero-shot-ner
zero shot
biomedical-nlp
anatomical-entity-recognition
medical-terminology
anatomy
healthcare
body_part
organ
Instructions to use OpenMed/OpenMed-ZeroShot-NER-Anatomy-Small-166M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use OpenMed/OpenMed-ZeroShot-NER-Anatomy-Small-166M with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("OpenMed/OpenMed-ZeroShot-NER-Anatomy-Small-166M") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44a5c0f7bf94e4f1ddc84be950f43b98287923f04f5c7b668b6212cf9a81f919
- Size of remote file:
- 611 MB
- SHA256:
- 279ccc5dffc2a82fc5b7e32eb4f294383ae5b30e731dc396f561e6ec204bfc72
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