Instructions to use zayedu/PCOS_CNN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zayedu/PCOS_CNN with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://zayedu/PCOS_CNN") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6f1cdc09637750487fa8734da8d12fb58238eab8bb9fe21d5c3fde7d63170e7
- Size of remote file:
- 67.4 kB
- SHA256:
- 0cd47d28d65c03907f40becafba68d5819434375f849e282fb2d23b4b9a96430
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