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

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+---
+library_name: keras
+---
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+
+| Hyperparameters | Value |
+| :-- | :-- |
+| name | RMSprop |
+| weight_decay | None |
+| clipnorm | None |
+| global_clipnorm | None |
+| clipvalue | None |
+| use_ema | False |
+| ema_momentum | 0.99 |
+| ema_overwrite_frequency | 100 |
+| jit_compile | True |
+| is_legacy_optimizer | False |
+| learning_rate | 0.0010000000474974513 |
+| rho | 0.9 |
+| momentum | 0.0 |
+| epsilon | 1e-07 |
+| centered | False |
+| training_precision | float32 |
+

config.json

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+{"name": "diffusion_model", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 320], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_2"}, "name": "input_2", "inbound_nodes": []}, {"class_name": "Dense", "config": {"name": "dense", "trainable": true, "dtype": "float32", "units": 1280, "activation": "linear", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "dense", "inbound_nodes": [[["input_2", 0, 0, {}]]]}, {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 64, 64, 4], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_3"}, "name": "input_3", "inbound_nodes": []}, {"class_name": "Activation", "config": {"name": "activation", "trainable": true, "dtype": "float32", "activation": "swish"}, "name": "activation", "inbound_nodes": [[["dense", 0, 0, {}]]]}, {"class_name": "PaddedConv2D", "config": {"name": "padded_conv2d", "trainable": true, "dtype": "float32", "kernel_size": 3, "padding": 1, "filters": 320}, "name": "padded_conv2d", "inbound_nodes": [[["input_3", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_1", "trainable": true, "dtype": "float32", "units": 1280, "activation": "linear", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "dense_1", "inbound_nodes": [[["activation", 0, 0, {}]]]}, {"class_name": "ResBlock", "config": {"name": "res_block", "trainable": true, "dtype": "float32", "output_dim": 320}, "name": "res_block", "inbound_nodes": [[["padded_conv2d", 0, 0, {}], ["dense_1", 0, 0, {}]]]}, {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 77, 768], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_1"}, "name": "input_1", "inbound_nodes": []}, {"class_name": "SpatialTransformer", "config": {"name": "spatial_transformer", "trainable": true, "dtype": "float32", "fully_connected": false, "num_heads": 8, "head_size": 40}, "name": "spatial_transformer", "inbound_nodes": [[["res_block", 0, 0, {}], ["input_1", 0, 0, {}]]]}, {"class_name": "ResBlock", "config": {"name": "res_block_1", "trainable": true, "dtype": "float32", "output_dim": 320}, "name": "res_block_1", "inbound_nodes": [[["spatial_transformer", 0, 0, {}], ["dense_1", 0, 0, {}]]]}, {"class_name": "SpatialTransformer", "config": {"name": "spatial_transformer_1", "trainable": true, "dtype": "float32", "fully_connected": false, "num_heads": 8, "head_size": 40}, "name": "spatial_transformer_1", "inbound_nodes": [[["res_block_1", 0, 0, {}], ["input_1", 0, 0, {}]]]}, {"class_name": "PaddedConv2D", "config": {"name": "padded_conv2d_9", "trainable": true, "dtype": "float32", "strides": 2, "padding": 1, "filters": 320, "kernel_size": 3}, "name": "padded_conv2d_9", "inbound_nodes": [[["spatial_transformer_1", 0, 0, {}]]]}, {"class_name": "ResBlock", "config": {"name": "res_block_2", "trainable": true, "dtype": "float32", "output_dim": 640}, "name": "res_block_2", "inbound_nodes": [[["padded_conv2d_9", 0, 0, {}], ["dense_1", 0, 0, {}]]]}, {"class_name": "SpatialTransformer", "config": {"name": "spatial_transformer_2", "trainable": true, "dtype": "float32", "fully_connected": false, "num_heads": 8, "head_size": 80}, "name": "spatial_transformer_2", "inbound_nodes": [[["res_block_2", 0, 0, {}], ["input_1", 0, 0, {}]]]}, {"class_name": "ResBlock", "config": {"name": "res_block_3", "trainable": true, "dtype": "float32", "output_dim": 640}, "name": "res_block_3", "inbound_nodes": [[["spatial_transformer_2", 0, 0, {}], ["dense_1", 0, 0, {}]]]}, {"class_name": "SpatialTransformer", "config": {"name": "spatial_transformer_3", "trainable": true, "dtype": "float32", "fully_connected": false, "num_heads": 8, "head_size": 80}, "name": "spatial_transformer_3", "inbound_nodes": [[["res_block_3", 0, 0, {}], ["input_1", 0, 0, {}]]]}, {"class_name": "PaddedConv2D", "config": {"name": "padded_conv2d_18", "trainable": true, "dtype": "float32", "strides": 2, "padding": 1, "filters": 640, "kernel_size": 3}, "name": "padded_conv2d_18", "inbound_nodes": [[["spatial_transformer_3", 0, 0, {}]]]}, {"class_name": "ResBlock", "config": {"name": "res_block_4", "trainable": true, "dtype": "float32", "output_dim": 1280}, "name": "res_block_4", "inbound_nodes": [[["padded_conv2d_18", 0, 0, {}], ["dense_1", 0, 0, {}]]]}, {"class_name": "SpatialTransformer", "config": {"name": "spatial_transformer_4", "trainable": true, "dtype": "float32", "fully_connected": false, "num_heads": 8, "head_size": 160}, "name": "spatial_transformer_4", "inbound_nodes": [[["res_block_4", 0, 0, {}], ["input_1", 0, 0, {}]]]}, {"class_name": "ResBlock", "config": {"name": "res_block_5", "trainable": true, "dtype": "float32", "output_dim": 1280}, "name": "res_block_5", "inbound_nodes": [[["spatial_transformer_4", 0, 0, {}], ["dense_1", 0, 0, {}]]]}, {"class_name": "SpatialTransformer", "config": {"name": "spatial_transformer_5", "trainable": true, "dtype": "float32", "fully_connected": false, "num_heads": 8, "head_size": 160}, "name": "spatial_transformer_5", "inbound_nodes": [[["res_block_5", 0, 0, {}], ["input_1", 0, 0, {}]]]}, {"class_name": "PaddedConv2D", "config": {"name": "padded_conv2d_27", "trainable": true, "dtype": "float32", "strides": 2, "padding": 1, "filters": 1280, "kernel_size": 3}, "name": "padded_conv2d_27", "inbound_nodes": [[["spatial_transformer_5", 0, 0, {}]]]}, {"class_name": "ResBlock", "config": {"name": "res_block_6", "trainable": true, "dtype": "float32", "output_dim": 1280}, "name": "res_block_6", "inbound_nodes": 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"name": "concatenate_2", "inbound_nodes": [[["res_block_11", 0, 0, {}], ["padded_conv2d_27", 0, 0, {}]]]}, {"class_name": "ResBlock", "config": {"name": "res_block_12", "trainable": true, "dtype": "float32", "output_dim": 1280}, "name": "res_block_12", "inbound_nodes": [[["concatenate_2", 0, 0, {}], ["dense_1", 0, 0, {}]]]}, {"class_name": "Upsample", "config": {"name": "upsample", "trainable": true, "dtype": "float32", "channels": 1280}, "name": "upsample", "inbound_nodes": [[["res_block_12", 0, 0, {}]]]}, {"class_name": "Concatenate", "config": {"name": "concatenate_3", "trainable": true, "dtype": "float32", "axis": -1}, "name": "concatenate_3", "inbound_nodes": [[["upsample", 0, 0, {}], ["spatial_transformer_5", 0, 0, {}]]]}, {"class_name": "ResBlock", "config": {"name": "res_block_13", "trainable": true, "dtype": "float32", "output_dim": 1280}, "name": "res_block_13", "inbound_nodes": [[["concatenate_3", 0, 0, {}], ["dense_1", 0, 0, {}]]]}, {"class_name": "SpatialTransformer", 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null, "gamma_constraint": null}, "name": "group_normalization_60", "inbound_nodes": [[["spatial_transformer_15", 0, 0, {}]]]}, {"class_name": "Activation", "config": {"name": "activation_67", "trainable": true, "dtype": "float32", "activation": "swish"}, "name": "activation_67", "inbound_nodes": [[["group_normalization_60", 0, 0, {}]]]}, {"class_name": "PaddedConv2D", "config": {"name": "padded_conv2d_83", "trainable": true, "dtype": "float32", "kernel_size": 3, "padding": 1, "filters": 4}, "name": "padded_conv2d_83", "inbound_nodes": [[["activation_67", 0, 0, {}]]]}], "input_layers": [["input_3", 0, 0], ["input_2", 0, 0], ["input_1", 0, 0]], "output_layers": [["padded_conv2d_83", 0, 0]]}

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