Token Classification
Transformers
Safetensors
English
modernbert
named-entity-recognition
biomedical-nlp
gene-recognition
genetics
genomics
molecular-biology
cell-line-name
Instructions to use OpenMed/OpenMed-NER-GenomicDetect-ModernMed-149M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMed/OpenMed-NER-GenomicDetect-ModernMed-149M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="OpenMed/OpenMed-NER-GenomicDetect-ModernMed-149M")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("OpenMed/OpenMed-NER-GenomicDetect-ModernMed-149M") model = AutoModelForTokenClassification.from_pretrained("OpenMed/OpenMed-NER-GenomicDetect-ModernMed-149M") - Notebooks
- Google Colab
- Kaggle
| { | |
| "eval_accuracy": 0.9976201111080093, | |
| "eval_f1": 0.98246050503794, | |
| "eval_loss": 0.29668089747428894, | |
| "eval_precision": 0.9888568924502317, | |
| "eval_recall": 0.9761463354344333 | |
| } |