Instructions to use KxSystems/mri_resnet_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use KxSystems/mri_resnet_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://KxSystems/mri_resnet_model") - Notebooks
- Google Colab
- Kaggle
Download keras_metadata.pb from KxSystems/mri_resnet_model: direct link, hf CLI and curl.
- Browser
- Download file 572 kB
-
https://huggingface.co/KxSystems/mri_resnet_model/resolve/main/keras_metadata.pb
- Command line
-
hf download hf://KxSystems/mri_resnet_model/keras_metadata.pb
-
curl -L -o keras_metadata.pb https://huggingface.co/KxSystems/mri_resnet_model/resolve/main/keras_metadata.pb
572 kB
- Xet hash:
- c136ed6abc68ffcdf6bcd0f028e8fc48b38a21cba01a8f2e179b3d1148380799
- Size of remote file:
- 572 kB
- SHA256:
- 4fdad7c20c226c01ca6a816ea7521828e71df43b38855fb4a8b89f2464c91c94
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