Token Classification
GLiNER
PyTorch
English
entity recognition
named-entity-recognition
zero-shot
zero-shot-ner
zero shot
biomedical-nlp
gene-recognition
genetics
genomics
molecular-biology
gene
genetic_variant
Instructions to use OpenMed/OpenMed-ZeroShot-NER-Genomic-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-Genomic-XLarge-770M with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("OpenMed/OpenMed-ZeroShot-NER-Genomic-XLarge-770M") - Notebooks
- Google Colab
- Kaggle
| { | |
| "eval_loss": 62.091552734375, | |
| "seqeval_accuracy": 0.9862535904800985, | |
| "seqeval_f1": 0.9002695417789757, | |
| "seqeval_precision": 0.8697916666666666, | |
| "seqeval_recall": 0.9329608938547486 | |
| } |