Token Classification
GLiNER
PyTorch
English
entity recognition
named-entity-recognition
zero-shot
zero-shot-ner
zero shot
biomedical-nlp
gene-recognition
protein-recognition
genomics
molecular-biology
gene
protein
Instructions to use OpenMed/OpenMed-ZeroShot-NER-Genome-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-Genome-Small-166M with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("OpenMed/OpenMed-ZeroShot-NER-Genome-Small-166M") - Notebooks
- Google Colab
- Kaggle
Download spm.model from OpenMed/OpenMed-ZeroShot-NER-Genome-Small-166M: direct link, hf CLI and curl.
- Browser
- Download file 2.46 MB
-
https://huggingface.co/OpenMed/OpenMed-ZeroShot-NER-Genome-Small-166M/resolve/main/spm.model
- Command line
-
hf download hf://OpenMed/OpenMed-ZeroShot-NER-Genome-Small-166M/spm.model
-
curl -L -o spm.model https://huggingface.co/OpenMed/OpenMed-ZeroShot-NER-Genome-Small-166M/resolve/main/spm.model
2.46 MB
- Xet hash:
- ceef70ee5c068f2e8ec2ea787d1566d2f5846b612f0e0a3879edffa246dc91cf
- Size of remote file:
- 2.46 MB
- SHA256:
- c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
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