Instructions to use Jeremy341/MIRA-AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Jeremy341/MIRA-AI with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Jeremy341/MIRA-AI") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7250875e1c2a5a2d4504c36558c9980b9d68efdb23badcbe9b38a1981afbc94b
- Size of remote file:
- 9.7 MB
- SHA256:
- ef69a1d51b01a5e12eb92b36a45c777285d025c109beadbf71297dc5caf7305e
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