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:
- 036e5650a1eca1d587d3cb9c3a922d42258f071e39f05bf549ca98d84fe6eb2c
- Size of remote file:
- 91.2 MB
- SHA256:
- d98554d69e0b9469d3fefd4504d28208f43cb001d78455936ff981fb5c91077c
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