Instructions to use Ansh/keras-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Ansh/keras-demo with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Ansh/keras-demo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03c69b50fc6cf37f9aa5a0ade525ed1fb61e20c6232fc3cc1333c0e319ba2568
- Size of remote file:
- 11 MB
- SHA256:
- 6e6b73b85961f1674eac6bdd0394b4d809b0170f9c17d614a484b8aaad040080
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