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:
- 8761308c4f7c780a2b1173d3d6c72aef26c1bdc12216df820fe832c5eb1f7291
- Size of remote file:
- 81 Bytes
- SHA256:
- 50a5bc8e426b008e2b95408c62f13ff4b0009dc967571d0d1562ba76499140b0
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