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:
- 58b1621ef61c97398e46008c719bce5fa35f869e092bbcee38a3e69007f5082e
- Size of remote file:
- 37.8 MB
- SHA256:
- 69c963215570bfa2bd00ce633f759dbfe20923a8fe550fcbf7187b13a0edfaa5
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