Instructions to use seige-ml/DeepSeeNet_GA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use seige-ml/DeepSeeNet_GA with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://seige-ml/DeepSeeNet_GA") - Notebooks
- Google Colab
- Kaggle
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library_name: keras
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## Model description
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| beta_2 | 0.9990000128746033 |
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| epsilon | 1e-07 |
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| amsgrad | False |
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| training_precision | float32 |
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library_name: keras
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## Model description
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| beta_2 | 0.9990000128746033 |
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| epsilon | 1e-07 |
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| amsgrad | False |
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| training_precision | float32 |
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