Instructions to use molkab/dashboard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use molkab/dashboard with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://molkab/dashboard") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae0b51f0b060d5eb44f73eda7af1348dd6aa6e1899a90e4eb086faaa4fb753bd
- Size of remote file:
- 1.91 kB
- SHA256:
- 7440bb6837ae9f9a94e934c85ee038841c6420f9c4bc4bc6f232345622a5d4c7
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