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
- Xet hash:
- d97a8697bebc85c5dba81f1f4b30b4955ce70c2e6213b673fc88922d0ced8b78
- Size of remote file:
- 4.31 MB
- SHA256:
- d0f14655fa6408c0dd283e3c94de8c1d7db96639d7b5d289c05bae1dec7d71ee
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