DeepECG models
Collection
Collections store the different models trained for DeepECG Project • 14 items • Updated
• 9
DeepECG EfficientNet V2 model
- model_name:
efficientnetv2_77_classes - Utilizes the EfficientNetV2 architecture for processing ECG signals.
- The model takes an input signal tensor and outputs the logits for the 77 diagnosis classes.
- Model compiled with JIT
- Frozen weights no tunable
To load use
import torch
model = torch.jit.load(model_path)
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