Text Classification
Transformers
PyTorch
English
medical
clinical-notes
cardiac-arrest
ohca
biomedical-nlp
pubmedbert
Instructions to use monajm36/ohca-classifier-v11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use monajm36/ohca-classifier-v11 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="monajm36/ohca-classifier-v11")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("monajm36/ohca-classifier-v11", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "base_model": "microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract", | |
| "num_labels": 2, | |
| "num_location_features": 2, | |
| "num_temporal_features": 7, | |
| "max_length": 512 | |
| } |