Jiahui-Shao/EfficientNetV2_LVEF_equal_under_40

DeepECG EfficientNet V2 Fine Tuned to detect LVEF under or equal 40 % model

• —modelname: `efficientnetv2lvefequalunder_40`
• —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 <= 40%.
• —Model compiled with JIT,
• —Frozen weights no tunable

To load use

import torch
model = torch.jit.load(model_path)