Instructions to use Martinagg/ZoomNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Martinagg/ZoomNet 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://Martinagg/ZoomNet") - Notebooks
- Google Colab
- Kaggle
Download ZoomNet.keras from Martinagg/ZoomNet: direct link, hf CLI and curl.
- Browser
- Download file 159 MB
-
https://huggingface.co/Martinagg/ZoomNet/resolve/main/ZoomNet.keras
- Command line
-
hf download hf://Martinagg/ZoomNet/ZoomNet.keras
-
curl -L -o ZoomNet.keras https://huggingface.co/Martinagg/ZoomNet/resolve/main/ZoomNet.keras
159 MB
- Xet hash:
- 9d572aa0d17f5f3d6adb5d15e4b4a15cb3a88f2d3f05399a4fbaf9be153c553a
- Size of remote file:
- 159 MB
- SHA256:
- ba875715ee98da3ee4f8df7068123535d2bd038dad66ae3e4e8dca623da49884
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