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:
- 82c87c83e2a2d9826cc0c861d6a7120b881c17efd3ad1a12601ef99d0ad2e3dd
- Size of remote file:
- 696 Bytes
- SHA256:
- ccc6f09a75b29302c78be04cd07d869bd4eaed761c902977356c78b2ae25c2e4
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