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:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://logasja/vnet-atn") - Notebooks
- Google Colab
- Kaggle
Download assets/summary_plot.png from logasja/vnet-atn: direct link, hf CLI and curl.
- Browser
- Download file 2.27 MB
-
https://huggingface.co/logasja/vnet-atn/resolve/main/assets/summary_plot.png
- Command line
-
hf download hf://logasja/vnet-atn/assets/summary_plot.png
-
curl -L -o summary_plot.png https://huggingface.co/logasja/vnet-atn/resolve/main/assets/summary_plot.png
2.27 MB

- Xet hash:
- 00f18f33c0b81657508b21520f4fb3641a020ce2b7bc3327f8b091856555405b
- Size of remote file:
- 2.27 MB
- SHA256:
- d496438b5712d1da3d883aa6922352fccb346d025f72d5d8be948055616eca01
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