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-Medium-209M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use OpenMed/OpenMed-ZeroShot-NER-Genomic-Medium-209M with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("OpenMed/OpenMed-ZeroShot-NER-Genomic-Medium-209M") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e2d4d8f34d65019e94410ad4089de810c6d37f1722ab78bf30045895c08ee39
- Size of remote file:
- 781 MB
- SHA256:
- 23bb652566e9838e11d51bcff07f938790c205bc7be0ca659fcc9aab7e1d4f27
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