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EfficientNetV2_LVEF_under_50
heartwise/EfficientNetV2_LVEF_under_50
EfficientNetV2_LVEF_under_50 is a machine learning model from heartwise. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
- modelname: efficientnetv2lvefunder50 - 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 tenso…
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Sep 30, 2024
- Updated
- Jan 22, 2025
- SHA
- f3d8d94e
Model card
From the Hugging Face model README
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)
- License
- apache-2.0
- Created
- Sep 30, 2024
- Updated
- Jan 22, 2025