---
license: apache-2.0
---
# DeepECG EfficientNet V2 Fine Tuned to detect LVEF under 50 % model

 - model_name: `efficientnetv2_lvef_under_50`
 - 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 LVEF < 50%.
 - Model compiled with JIT,
 - Frozen weights no tunable

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