Instructions to use ayyuce/gnn_contrastive_brca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ayyuce/gnn_contrastive_brca with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://ayyuce/gnn_contrastive_brca") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f42b3a130fd062075d6d81938077d8f1392c48c3b1dc20e668669cf3f75d5921
- Size of remote file:
- 116 kB
- SHA256:
- b27ebb1aa5b1ea59d32c36cb8e03b0edb3fe899dbbb9451bc97ed9cd9365c534
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