Instructions to use kanishka089/InfantCryingReason with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use kanishka089/InfantCryingReason with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://kanishka089/InfantCryingReason") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad8149bebab028c5867576467a386f9da9cc8ade0843318cd48ea18e650001aa
- Size of remote file:
- 667 kB
- SHA256:
- 1a8db8bed389d49d40ffe3fadfe3fa7642b365a955d38771e26e78ebd267af8d
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