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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("monajm36/ohca-classifier-v11", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload README.md with huggingface_hub
Verified signature34da60e -
Upload tokenizer.json with huggingface_hub
Verified signatureabec363 -
Upload special_tokens_map.json with huggingface_hub
Verified signature3a08298 -
Upload vocab.txt with huggingface_hub
Verified signaturedc91b04 -
Upload tokenizer_config.json with huggingface_hub
Verified signature61b1500 -
Upload training_info.json with huggingface_hub
Verified signature7a90e38 -
Upload model_config.json with huggingface_hub
Verified signaturededbc15 -
Upload pytorch_model.bin with huggingface_hub
Verified signature881a293 -
initial commit
Verified signaturead434ea