Instructions to use Omamaa12/iris-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Omamaa12/iris-models with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Omamaa12/iris-models") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c32c13bbe2742feb73914014a74bdfe984f507f13dea9e6847dad3913e2a20f7
- Size of remote file:
- 297 MB
- SHA256:
- 961e00c71ca666e19d42e14a5ad356e3c519441266db149da47a847e068fed6c
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