Instructions to use Peyerra1/KIA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Peyerra1/KIA with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Peyerra1/KIA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8e35e4256a302042d9e2d08982800e7b04b5b6a344129aa3122cbd3bc744d48
- Size of remote file:
- 196 kB
- SHA256:
- bf5659c9e6b20a75dabdccefafd2727725e3647313bcd9e2674c65bfd46b5042
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