Save model using Keras.

.gitattributes

@@ -33,3 +33,4 @@ 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
+assets/summary_plot.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,17 @@
+
+---
+library_name: keras
+---
+
+This model has been uploaded using the Keras library and can be used with JAX,
+TensorFlow, and PyTorch backends.
+
+This model card has been generated automatically and should be completed by the
+model author.
+See [Model Cards documentation](https://huggingface.co/docs/hub/model-cards) for
+more information.
+
+For more details about the model architecture, check out
+[config.json](./config.json).
+
+![](./assets/summary_plot.png)

config.json

@@ -0,0 +1 @@
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{"input_shape": [null, 224, 224, 3]}, "name": "rescaling_2", "inbound_nodes": [{"args": [{"class_name": "__keras_tensor__", "config": {"shape": [null, 224, 224, 3], "dtype": "float16", "keras_history": ["cast_20", 0, 0]}}], "kwargs": {}}]}, {"module": "keras.src.models.functional", "class_name": "Functional", "config": {"name": "vnet_model", "trainable": true, "layers": [{"module": "keras.layers", "class_name": "InputLayer", "config": {"batch_shape": [null, 224, 224, 3], "dtype": "float32", "sparse": false, "name": "input_layer_2"}, "registered_name": null, "name": "input_layer_2", "inbound_nodes": []}, {"module": "keras.src.ops.core", "class_name": "Cast", "config": {"dtype": "float16"}, "registered_name": "Cast", "name": "cast_21", "inbound_nodes": [{"args": [{"class_name": "__keras_tensor__", "config": {"shape": [null, 224, 224, 3], "dtype": "float32", "keras_history": ["input_layer_2", 0, 0]}}], "kwargs": {}}]}, {"module": "keras.layers", "class_name": "Conv2D", "config": {"name": 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metadata.json

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model.weights.h5

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