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-Large-459M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use OpenMed/OpenMed-ZeroShot-NER-Genome-Large-459M with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("OpenMed/OpenMed-ZeroShot-NER-Genome-Large-459M") - Notebooks
- Google Colab
- Kaggle
| { | |
| "eval_loss": 152.8480224609375, | |
| "seqeval_accuracy": 0.9652766669537719, | |
| "seqeval_f1": 0.8616143705188497, | |
| "seqeval_precision": 0.8408065001504664, | |
| "seqeval_recall": 0.8834782608695653 | |
| } |