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
+---
+# Unet 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": "resnet34",
+    "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)

config.json

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+{
+  "_model_class": "Unet",
+  "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": "resnet34",
+  "encoder_weights": "imagenet",
+  "in_channels": 3
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:aa2bb6d888c0ce9f9a36305baabfc1f766fecfd5ad9dcc10163c74b6a30f59bf
+size 97849364