Instructions to use InnerI/SacredGeometryConsciousnessModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use InnerI/SacredGeometryConsciousnessModel with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://InnerI/SacredGeometryConsciousnessModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 343166e2dd14d9c16ed9f8f0b1cf653a20e99c30ce02d512945872d601353c1e
- Size of remote file:
- 613 kB
- SHA256:
- 779b5cf116d7a8205e8a5f397dc604498728fa4c6b511dde90c476f086928f68
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