Instructions to use osanseviero/osans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use osanseviero/osans with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://osanseviero/osans") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e651d587a2d9144c85c69c7ca14d64d6429dfc42ee6c7c2f8280f796be5f307d
- Size of remote file:
- 34.6 kB
- SHA256:
- 236aa8d9ee5483d38c406993827d5c95b76a1978445a17c921befad5c30b8746
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