Token Classification
GLiNER
PyTorch
English
entity recognition
named-entity-recognition
zero-shot
zero-shot-ner
zero shot
biomedical-nlp
protein-interactions
molecular-biology
biochemistry
systems-biology
protein
protein_complex
protein_family
Instructions to use OpenMed/OpenMed-ZeroShot-NER-Protein-Tiny-60M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use OpenMed/OpenMed-ZeroShot-NER-Protein-Tiny-60M with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("OpenMed/OpenMed-ZeroShot-NER-Protein-Tiny-60M") - Notebooks
- Google Colab
- Kaggle
| { | |
| "eval_loss": 375.7685546875, | |
| "seqeval_accuracy": 0.9116523400191022, | |
| "seqeval_f1": 0.6174996202339359, | |
| "seqeval_precision": 0.5642698500832871, | |
| "seqeval_recall": 0.6818181818181818 | |
| } |