Push Keras model using huggingface_hub.

.gitattributes

@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,24 @@
+---
+library_name: keras
+---
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+ ## Model Plot
+
+<details>
+<summary>View Model Plot</summary>
+
+![Model Image](./model.png)
+
+</details>

config.json

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+{"name": "model_1", "trainable": true, "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 64, 64, 4], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_5"}, "name": "input_5", "inbound_nodes": []}, {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 320], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_4"}, "name": "input_4", "inbound_nodes": []}, {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 77, 768], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_3"}, "name": "input_3", "inbound_nodes": []}, {"class_name": "UNetModel", "config": {}, "name": "u_net_model", "inbound_nodes": [[["input_5", 0, 0, {}], ["input_4", 0, 0, {}], ["input_3", 0, 0, {}]]]}], "input_layers": [["input_5", 0, 0], ["input_4", 0, 0], ["input_3", 0, 0]], "output_layers": [["u_net_model", 0, 0]]}

fingerprint.pb

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keras_metadata.pb

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saved_model.pb

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