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:
- 85fa35ee9dd2e0368d6dd58d900d57941e39df13ab930da12a4545b562b65d1f
- Size of remote file:
- 44.8 MB
- SHA256:
- 8e2d392e35d4eb563b6a1fe8a10fc73d23fdb9f367f0f74bdc112956e2195668
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