Token Classification
GLiNER
PyTorch
English
entity recognition
named-entity-recognition
zero-shot
zero-shot-ner
zero shot
biomedical-nlp
gene-recognition
protein-recognition
genomics
molecular-biology
gene
protein
Instructions to use OpenMed/OpenMed-ZeroShot-NER-Genome-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-Genome-Base-220M with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("OpenMed/OpenMed-ZeroShot-NER-Genome-Base-220M") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3209e8c0d443fec2d6a7154c6dd4031041cfe53cfcf3858e9c08ae9350d5a15f
- Size of remote file:
- 1.21 GB
- SHA256:
- ec5a865568069d020cc4789447cf3d2a3ff7a2e628be149b2dc04817696666e4
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