Instructions to use zachtheyek/aetherscan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zachtheyek/aetherscan with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://zachtheyek/aetherscan") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84f6930943dc74fcf9e494af983567d2675176d5a8c21e187176456a71e3a6d0
- Size of remote file:
- 18.7 MB
- SHA256:
- 9df2551c536cd70a86ff701f7a191a6d6bb3b650cb6b19c75acc9cdefc91c867
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