Token Classification
Transformers
Safetensors
English
bert
named-entity-recognition
biomedical-nlp
gene-recognition
genetics
genomics
molecular-biology
cell-line-name
Instructions to use OpenMed/OpenMed-NER-GenomicDetect-PubMed-109M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMed/OpenMed-NER-GenomicDetect-PubMed-109M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="OpenMed/OpenMed-NER-GenomicDetect-PubMed-109M")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("OpenMed/OpenMed-NER-GenomicDetect-PubMed-109M") model = AutoModelForTokenClassification.from_pretrained("OpenMed/OpenMed-NER-GenomicDetect-PubMed-109M", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
| { | |
| "eval_accuracy": 0.9990576340449517, | |
| "eval_f1": 0.9950937224808151, | |
| "eval_loss": 0.2939496338367462, | |
| "eval_precision": 0.9948434159225255, | |
| "eval_recall": 0.9953441550270542 | |
| } |