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-Tiny-60M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use OpenMed/OpenMed-ZeroShot-NER-Anatomy-Tiny-60M with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("OpenMed/OpenMed-ZeroShot-NER-Anatomy-Tiny-60M") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b876497420c4c1bd88b986c29d4e77baea9fb6347eeeb6f717665625a9fffae6
- Size of remote file:
- 689 MB
- SHA256:
- 09568ac80e8ea5f2362a18c26df1c177749e74bba49f5cd0c617f533ea9aa068
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