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README.md

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+
+---
+library_name: segmentation-models-pytorch
+license: other
+pipeline_tag: image-classification
+tags:
+- segmentation-models-pytorch
+- image-classification
+- pytorch
+- efficientnet
+languages:
+- python
+---
+
+# Model card for timm-efficientnet-b6.
+
+This repository contains the `noisy-student` pre-trained weights for the `timm-efficientnet-b6` model used as 
+encoder in the [segmentation-models-pytorch](https://github.com/qubvel-org/segmentation_models.pytorch) library.
+
+### Example usage:
+
+1. Install the library:
+
+```bash
+pip install segmentation-models-pytorch
+```
+
+2. Use the encoder in your code:
+
+```python
+import segmentation_models_pytorch as smp
+
+model = smp.Unet(timm-efficientnet-b6, encoder_weights="noisy-student")
+```
+
+### References
+
+- Github: https://github.com/qubvel/segmentation_models.pytorch
+- Docs: https://smp.readthedocs.io/en/latest/
+- Original weights URL: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/tf_efficientnet_b6_ns-51548356.pth
+

config.json

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+{"mean": [0.485, 0.456, 0.406], "std": [0.229, 0.224, 0.225], "input_range": [0, 1], "input_space": "RGB"}

model.safetensors

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+size 173153472