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:
- 3946e25e928dc84ea1d8b6bcb348e98f4e10ade7867ad259959e996fe4e2493b
- Size of remote file:
- 39.1 MB
- SHA256:
- f3c7183884802743a5934b6a96989e1df5b32c3316a013a8b942c071217c1277
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