Token Classification
GLiNER
PyTorch
English
entity recognition
named-entity-recognition
zero-shot
zero-shot-ner
zero shot
biomedical-nlp
protein-recognition
gene-recognition
molecular-biology
genomics
protein
dna
rna
cell_line
cell_type
Instructions to use OpenMed/OpenMed-ZeroShot-NER-DNA-Small-166M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use OpenMed/OpenMed-ZeroShot-NER-DNA-Small-166M with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("OpenMed/OpenMed-ZeroShot-NER-DNA-Small-166M") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa68b71734c48b2c7f2e6c33c0a8c75ecbb37e6d6b2539da20fd8379d6e34a71
- Size of remote file:
- 611 MB
- SHA256:
- d7371dc78e0ee46cc72df4c28e6bd7b3874638eb7b546c0096e13e8696c5b565
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