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
File size: 134 Bytes
f99eb93 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d7371dc78e0ee46cc72df4c28e6bd7b3874638eb7b546c0096e13e8696c5b565
size 610640455
|