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:
- c34eb9f390d1d7a3fae4f963792cd821defe98901d81b0ad7702e947cd9a0d36
- Size of remote file:
- 101 MB
- SHA256:
- 52fc99df8eda9275eb782d6c80e7602d59ec836af3d8759b9c093ac0f221d4dd
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