Instructions to use PPCgroup/UNET_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use PPCgroup/UNET_model 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://PPCgroup/UNET_model") - Notebooks
- Google Colab
- Kaggle
Download UNET_model.keras from PPCgroup/UNET_model: direct link, hf CLI and curl.
- Browser
- Download file 1.52 MB
-
https://huggingface.co/PPCgroup/UNET_model/resolve/main/UNET_model.keras
- Command line
-
hf download hf://PPCgroup/UNET_model/UNET_model.keras
-
curl -L -o UNET_model.keras https://huggingface.co/PPCgroup/UNET_model/resolve/main/UNET_model.keras
1.52 MB
- Xet hash:
- 082e4d7aeeb4ef34b03be3e089b13c97cf2611807ad07fec87c05307dd463aa9
- Size of remote file:
- 1.52 MB
- SHA256:
- 58dbfbfc0b63e3cf5e853d8d75ea13733efa476a4fd5b021fa18f4485ecf2bb9
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