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:
- 7f0d827082cff4f71ea49e24282ac71e41851c9d612bf0e7d18755c1a14c84ed
- Size of remote file:
- 696 kB
- SHA256:
- 54cc4efdaf02c1f2ec3ebac873ba1a47ccc407fddb4133c449df9f06e8b08a28
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