Instructions to use ErnestBeckham/MulticancerViT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ErnestBeckham/MulticancerViT with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://ErnestBeckham/MulticancerViT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ef3d25471b9f5fd2051e17c0b525f482bfecd12b80d4ba47159377a8effbf62
- Size of remote file:
- 2.43 MB
- SHA256:
- aa912c268446f86b3ee76fcf055b2b84d21d3c6e67ba9007c2e45910647adb44
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