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README.md

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+---
+library_name: segmentation-models-pytorch
+license: mit
+pipeline_tag: image-segmentation
+tags:
+- model_hub_mixin
+- pytorch_model_hub_mixin
+- segmentation-models-pytorch
+- semantic-segmentation
+- pytorch
+languages:
+- python
+---
+# UnetPlusPlus Model Card
+
+Table of Contents:
+- [Load trained model](#load-trained-model)
+- [Model init parameters](#model-init-parameters)
+- [Model metrics](#model-metrics)
+- [Dataset](#dataset)
+
+## Load trained model
+```python
+import segmentation_models_pytorch as smp
+
+model = smp.from_pretrained("<save-directory-or-this-repo>")
+```
+
+## Model init parameters
+```python
+model_init_params = {
+    "encoder_name": "tu-maxvit_tiny_tf_512",
+    "encoder_depth": 5,
+    "encoder_weights": "imagenet",
+    "decoder_use_batchnorm": True,
+    "decoder_channels": (256, 128, 64, 32, 16),
+    "decoder_attention_type": None,
+    "in_channels": 3,
+    "classes": 1,
+    "activation": None,
+    "aux_params": None
+}
+```
+
+## Model metrics
+[More Information Needed]
+
+## Dataset
+Dataset name: [More Information Needed]
+
+## More Information
+- Library: https://github.com/qubvel/segmentation_models.pytorch
+- Docs: https://smp.readthedocs.io/en/latest/
+
+This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin)

albumentations_config_eval.json

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+{"__version__": "1.4.15", "transform": {"__class_fullname__": "Compose", "p": 1.0, "transforms": [{"__class_fullname__": "Resize", "p": 1.0, "height": 1024, "width": 1024, "interpolation": 1}, {"__class_fullname__": "Normalize", "p": 1.0, "mean": [105.49471096559004, 38.09930710359053, 6.372525670311668], "std": [94.59792380414105, 37.124842434042286, 9.010067782846418], "max_pixel_value": 255.0, "normalization": "image"}, {"__class_fullname__": "ToTensorV2", "p": 1.0, "transpose_mask": false}], "bbox_params": null, "keypoint_params": null, "additional_targets": {}, "is_check_shapes": true}}

config.json

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+{
+  "_model_class": "UnetPlusPlus",
+  "activation": null,
+  "aux_params": null,
+  "classes": 1,
+  "decoder_attention_type": null,
+  "decoder_channels": [
+    256,
+    128,
+    64,
+    32,
+    16
+  ],
+  "decoder_use_batchnorm": true,
+  "encoder_depth": 5,
+  "encoder_name": "tu-maxvit_tiny_tf_512",
+  "encoder_weights": "imagenet",
+  "in_channels": 3
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:63afadfa3e742547b1f7a7addcbfed1847b56204111ce88d7965c3c48144fdb5
+size 140556268