Push model using huggingface_hub.

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
+---
+# UPerNet 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": "dpn131",
+    "encoder_depth": 5,
+    "encoder_weights": "imagenet",
+    "decoder_channels": 256,
+    "decoder_use_norm": "batchnorm",
+    "in_channels": 3,
+    "classes": 1,
+    "activation": None,
+    "upsampling": 4,
+    "aux_params": None
+}
+```
+
+## Model metrics
+```json
+[
+    {
+        "test_per_image_iou": 0.5122914910316467,
+        "test_dataset_iou": 0.5401375889778137,
+        "test_per_image_accuracy": 0.7357754111289978,
+        "test_dataset_accuracy": 0.7357754111289978
+    }
+]
+```
+
+## Dataset
+Dataset name: VIP
+
+## 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)

config.json

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+{
+  "_model_class": "UPerNet",
+  "activation": null,
+  "aux_params": null,
+  "classes": 1,
+  "decoder_channels": 256,
+  "decoder_use_norm": "batchnorm",
+  "encoder_depth": 5,
+  "encoder_name": "dpn131",
+  "encoder_weights": "imagenet",
+  "in_channels": 3,
+  "upsampling": 4
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ebc1862812269376e5e9b47be4d229602482d08cf15dc98df3281e9acff59c7a
+size 372333396