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cardio-ner-ro-procedure-cardioberta-multiclass
DT4H/cardio-ner-ro-procedure-cardioberta-multiclass
cardio-ner-ro-procedure-cardioberta-multiclass is a machine learning model from DT4H. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Romanian cardiology NER model for procedure recognition
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At a glance
- Model type
- xlm-roberta
- Access
- Public
- Created
- Aug 11, 2026
- Updated
- Aug 11, 2026
- SHA
- 2b8b03f4
Model card
From the Hugging Face model README
Model Card for Cardio-Ner-Ro-Procedure-Cardioberta-Multiclass
Description
Romanian cardiology NER model for procedure recognition
Model Details
- Language: RO
- Task: token-classification
- Framework: pytorch
How to Use
from transformers import AutoTokenizer, AutoModelForTokenClassification
model_name = "DT4H/cardio-ner-ro-procedure-cardioberta-multiclass"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForTokenClassification.from_pretrained(model_name)
Acknowledgments
This work received funding from the European Union’s Horizon Europe research and innovation programme under Grant Agreement No. 101057849 (DataTools4Heart project).
- Type
- xlm-roberta
- Languages
- ro
- Created
- Aug 11, 2026
- Updated
- Aug 11, 2026