Model card for timm-efficientnet-b4.

This repository contains the noisy-student pre-trained weights for the timm-efficientnet-b4 model used as encoder in the segmentation-models-pytorch library.

Example usage:

  1. Install the library:
pip install segmentation-models-pytorch
  1. Use the encoder in your code:
import segmentation_models_pytorch as smp

model = smp.Unet("timm-efficientnet-b4", encoder_weights="noisy-student")

References

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Model size
19.5M params
Tensor type
F32
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