Instructions to use lysandre/test-save-keras-sequential with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use lysandre/test-save-keras-sequential with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://lysandre/test-save-keras-sequential") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60418aaeb88377c690170aff7aaae647cc57975e456a5fdd4107da8b23cce369
- Size of remote file:
- 527 Bytes
- SHA256:
- 090c07462e6e060f94d11212f3cff902036723ffadc88a56312f861ebd56577a
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