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-Medium-209M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use OpenMed/OpenMed-ZeroShot-NER-Genome-Medium-209M with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("OpenMed/OpenMed-ZeroShot-NER-Genome-Medium-209M") - Notebooks
- Google Colab
- Kaggle
| { | |
| "eval_loss": 188.3802947998047, | |
| "seqeval_accuracy": 0.9647475729349952, | |
| "seqeval_f1": 0.8553254208362423, | |
| "seqeval_precision": 0.8396283886689004, | |
| "seqeval_recall": 0.8716205533596838 | |
| } |