Token Classification
GLiNER
PyTorch
English
entity recognition
named-entity-recognition
zero-shot
zero-shot-ner
zero shot
biomedical-nlp
gene-recognition
genetics
genomics
molecular-biology
gene
genetic_variant
Instructions to use OpenMed/OpenMed-ZeroShot-NER-Genomic-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-Genomic-Base-220M with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("OpenMed/OpenMed-ZeroShot-NER-Genomic-Base-220M") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3974cc195c2d6da11e7d9219b16d4f7a44db2ceda9f7ed7b224ce98fcdeb09b0
- Size of remote file:
- 1.21 GB
- SHA256:
- 80b579f88c4fa68f038fb36610079d8d80ef4e00fb1bc72878713f0175cfce0a
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