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:
- 13a468c80490a70b9c7e2c421c42ffe98c8315ca7342776a28ac4f15a0e35a51
- Size of remote file:
- 179 MB
- SHA256:
- 3274fbfb0734dbbb264bbf64fd163d8a366e3ec10131095752e3e348919caa9d
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