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:
- 055c3529fed3ac436823ed62aa0534188b7fc66fced7b84c01a4c96ccedf7a43
- Size of remote file:
- 675 kB
- SHA256:
- 8f2301ba0c5c83afab5d493530c68c9bae8f3457e0e7c647bd9cb12339ef66e0
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