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:
- 686deff686fcfe7bac1fd2732ef0aa7d7cef9881bcf3ff14e68fe588f3ffbd9c
- Size of remote file:
- 10.8 MB
- SHA256:
- ac03d3e1eda1e7dabd6934f9c0674d656fca2833165789e2552692dc37b9b89b
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