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cardio-ner-sv-procedure-cardioberta-multiclass
DT4H/cardio-ner-sv-procedure-cardioberta-multiclass
cardio-ner-sv-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.
Swedish cardiology NER model for procedure recognition
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.safetensors248 MB · 99%
At a glance
- Model type
- roberta
- Access
- Public
- Created
- Aug 18, 2026
- Updated
- Aug 18, 2026
- SHA
- 6938268c
Base models
Model card
From the Hugging Face model README
Model Card for Cardio-Ner-Sv-Procedure-Cardioberta-Multiclass
Description
Swedish cardiology NER model for procedure recognition
Model Details
- Language: SV
- Task: token-classification
- Framework: pytorch
How to Use
from transformers import AutoTokenizer, AutoModelForTokenClassification
model_name = "DT4H/cardio-ner-sv-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
- roberta
- Languages
- sv
- Created
- Aug 18, 2026
- Updated
- Aug 18, 2026