Model card for efficientnet-b5.

This repository contains the advprop pre-trained weights for the efficientnet-b5 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("efficientnet-b5", encoder_weights="advprop")

References

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Safetensors
Model size
30.6M params
Tensor type
F32
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This model is not currently available via any of the supported third-party Inference Providers, and the HF Inference API does not support segmentation-models-pytorch models with pipeline type image-classification