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-Base-220M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use OpenMed/OpenMed-ZeroShot-NER-Anatomy-Base-220M with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("OpenMed/OpenMed-ZeroShot-NER-Anatomy-Base-220M") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 353f8ecf4ef125f47cdb0a37da9239d505cd32cf8af598afa5bb398258ec8b74
- Size of remote file:
- 1.21 GB
- SHA256:
- 3afc2140784411d185d189c6daf23f115b21978da097c2017883262ab18d5654
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