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---
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)
``` |