Instructions to use GIanlucaRub/doubleResFinal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use GIanlucaRub/doubleResFinal with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://GIanlucaRub/doubleResFinal") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1698bf49b6ebe3f5055127a32bb67c92c5256180d57839b471a5bd7d7f464040
- Size of remote file:
- 1.75 MB
- SHA256:
- 0a2e419d2b830496689325601c4f1a63ef4b762d8192e5efa54fe90cee3200b1
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