Push Keras model using huggingface_hub.

.gitattributes

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 *.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 |
+| :-- | :-- |
+| inner_optimizer.class_name | Custom>RMSprop |
+| inner_optimizer.config.name | RMSprop |
+| inner_optimizer.config.weight_decay | None |
+| inner_optimizer.config.clipnorm | None |
+| inner_optimizer.config.global_clipnorm | None |
+| inner_optimizer.config.clipvalue | None |
+| inner_optimizer.config.use_ema | False |
+| inner_optimizer.config.ema_momentum | 0.99 |
+| inner_optimizer.config.ema_overwrite_frequency | 100 |
+| inner_optimizer.config.jit_compile | True |
+| inner_optimizer.config.is_legacy_optimizer | False |
+| inner_optimizer.config.learning_rate | 0.0010000000474974513 |
+| inner_optimizer.config.rho | 0.9 |
+| inner_optimizer.config.momentum | 0.0 |
+| inner_optimizer.config.epsilon | 1e-07 |
+| inner_optimizer.config.centered | False |
+| dynamic | True |
+| initial_scale | 32768.0 |
+| dynamic_growth_steps | 2000 |
+| training_precision | mixed_float16 |
+
+
+ ## Model Plot
+
+<details>
+<summary>View Model Plot</summary>
+
+![Model Image](./model.png)
+
+</details>

config.json

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+{"name": "diffusion_model_1", "img_height": 512, "img_width": 512, "max_text_length": 77}

fingerprint.pb

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keras_metadata.pb

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saved_model.pb

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