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/input.png from logasja/vnet-atn: direct link, hf CLI and curl.
- Browser
- Download file 139 kB
-
https://huggingface.co/logasja/vnet-atn/resolve/main/assets/input.png
- Command line
-
hf download hf://logasja/vnet-atn/assets/input.png
-
curl -L -o input.png https://huggingface.co/logasja/vnet-atn/resolve/main/assets/input.png
139 kB

- Xet hash:
- 85814a80c5ca8fe9fa4f4b985a0f5c46e13b92b5ba943ac16d8272c3c8b7f13e
- Size of remote file:
- 139 kB
- SHA256:
- 2ff2cf7afe1a7061e7dbea13bd122a8c3d61c8d046c3f4f11c4217455792fbfb
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