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-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-DNA-XLarge-770M with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("OpenMed/OpenMed-ZeroShot-NER-DNA-XLarge-770M") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2c837d7dcdf347de3a0015e628807110614d5dddc8570780169aa603b95da68
- Size of remote file:
- 2.43 GB
- SHA256:
- a73c09466524ff5dd8826106a35145e41f0f9a488da68039d736655ba960adc9
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