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-Large-459M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use OpenMed/OpenMed-ZeroShot-NER-Genome-Large-459M with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("OpenMed/OpenMed-ZeroShot-NER-Genome-Large-459M") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a67a83a7e11f1a722a5f665b23571dd7ea87a5c189f6e7cfc3270f172d5cafe
- Size of remote file:
- 1.78 GB
- SHA256:
- 4b6fd279f19279b4d5ae5538449f59b418da3fb0d8fbd11067081a4309538886
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