Instructions to use logasja/vnet-atn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/vnet-atn with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://logasja/vnet-atn") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62983c10a6d29bbfe266bd11cedb1a442fc8c3c1b7bac06fc993936189a138c3
- Size of remote file:
- 146 MB
- SHA256:
- dd16bc6aba32bce2ab81ae7743ab42b052d476c90e3b37ad23e45c42c7f94224
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