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-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-Genomic-Tiny-60M with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("OpenMed/OpenMed-ZeroShot-NER-Genomic-Tiny-60M") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ed00b0f8c45cdc65b49e2c0f4ff6697b741adf99b24c8c4c3d338a6c8ee20ca
- Size of remote file:
- 689 MB
- SHA256:
- 4848e4df5a5528a7e059f8a2353af19bd299512b0607e3d36b20f91523b3c24f
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