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---
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)
``` |