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
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+variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,58 @@
 ---
-license: unknown
+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 | Adam |
+| weight_decay | None |
+| clipnorm | None |
+| global_clipnorm | None |
+| clipvalue | None |
+| use_ema | False |
+| ema_momentum | 0.99 |
+| ema_overwrite_frequency | None |
+| jit_compile | True |
+| is_legacy_optimizer | False |
+| learning_rate.module | keras.optimizers.schedules |
+| learning_rate.class_name | PolynomialDecay |
+| learning_rate.config.initial_learning_rate | 2e-05 |
+| learning_rate.config.decay_steps | 32050 |
+| learning_rate.config.end_learning_rate | 0.0 |
+| learning_rate.config.power | 1.0 |
+| learning_rate.config.cycle | False |
+| learning_rate.config.name | None |
+| learning_rate.registered_name | None |
+| beta_1 | 0.9 |
+| beta_2 | 0.999 |
+| epsilon | 1e-08 |
+| amsgrad | False |
+| training_precision | float32 |
+
+
+ ## Model Plot
+
+<details>
+<summary>View Model Plot</summary>
+
+![Model Image](./model.png)
+
+</details>

fingerprint.pb

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keras_metadata.pb

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saved_model.pb

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