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-XLarge-770M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use OpenMed/OpenMed-ZeroShot-NER-Anatomy-XLarge-770M with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("OpenMed/OpenMed-ZeroShot-NER-Anatomy-XLarge-770M") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e06fa3c0d95f66636090cf59a013aee25218a9813500013f075c97089613c33a
- Size of remote file:
- 2.43 GB
- SHA256:
- 0948d4550f5a120fe68a26bbaa6f8af5f4ebf4512b9a072963e155a92e183aad
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