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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
+- mit
+languages:
+- python
+---
+
+# Model card for mit_b5.
+
+This repository contains the `imagenet` pre-trained weights for the `mit_b5` 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(mit_b5, encoder_weights="imagenet")
+```
+
+### References
+
+- Github: https://github.com/qubvel/segmentation_models.pytorch
+- Docs: https://smp.readthedocs.io/en/latest/
+- Original weights URL: https://github.com/qubvel/segmentation_models.pytorch/releases/download/v0.0.2/mit_b5.pth
+

config.json

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+{"input_space": "RGB", "input_size": [3, 224, 224], "input_range": [0, 1], "mean": [0.485, 0.456, 0.406], "std": [0.229, 0.224, 0.225]}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:376d70c46682a3f576bdb064404358d0ca6ef1c55567529849b72714deb14ddb
+size 327923200