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-Base-220M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use OpenMed/OpenMed-ZeroShot-NER-DNA-Base-220M with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("OpenMed/OpenMed-ZeroShot-NER-DNA-Base-220M") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e488b93db434521c6edd51df579bf7a3ab92bad14686479615ca7d4c70cd6f9
- Size of remote file:
- 1.21 GB
- SHA256:
- 6361c7ac60589d804f4ab636334508db600c21d95566cf9a494ef38e0d96d290
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