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:
- 6373fa8153e6c1b62c59e70fd66f2b6d24867dfea19a1baef56962351d3f8e98
- Size of remote file:
- 8.97 MB
- SHA256:
- 4852f889e4992faf4ca2e17c408044a7f6ad345fdc077facf12030c34968150f
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