Instructions to use sid512206/CardioNet-XL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use sid512206/CardioNet-XL with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://sid512206/CardioNet-XL") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4651ae970b2e88a6fd8347c9eaea18a82e8886e005db6ea5d235a61b57e9473b
- Size of remote file:
- 49.7 MB
- SHA256:
- 816592cf1556aea1529da3d11c211089fb2832a5bef8d5fce4bbefbca5882b16
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