---
license: apache-2.0
language:
- en
---
# DeeECG EfficientNet V2 Fine Tuned to detect AFIB at 5y

 - model_name: `efficientnetv2_afib_5y`
 - Utilizes the EfficientNetV2 architecture for processing ECG signals.
 - Pre-trained model is loaded from a specified directory, and the model is used to process ECG signal tensors.
 - The model takes an input signal tensor and outputs the logits for the binary classification of incident AFIB at 5 years.
 - Model compiled with JIT,
 - Frozen weights no tunable

To load use
```
import torch
model = torch.jit.load(model_path)
```