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-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-Genome-XLarge-770M with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("OpenMed/OpenMed-ZeroShot-NER-Genome-XLarge-770M") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e7aabcdabe7609dcfc4c02246ef5f9a3e9298d7e28f49f7802bd01f4e61ab61
- Size of remote file:
- 2.43 GB
- SHA256:
- 1600c79263da05d932c698ab9803da62942d862c3f4fbae9a766ad4ac97d0015
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