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

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