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

• model_name: efficientnetv2_lvef_equal_under_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

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