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 fingerprint.pb from KxSystems/mri_resnet_model: direct link, hf CLI and curl.
- Browser
- Download file 55 Bytes
-
https://huggingface.co/KxSystems/mri_resnet_model/resolve/main/fingerprint.pb
- Command line
-
hf download hf://KxSystems/mri_resnet_model/fingerprint.pb
-
curl -L -o fingerprint.pb https://huggingface.co/KxSystems/mri_resnet_model/resolve/main/fingerprint.pb
55 Bytes
- Xet hash:
- fd7c496723f71e07172e6d11b8a2d7ca8eaca82dbb60e462d53959dbeeea08b7
- Size of remote file:
- 55 Bytes
- SHA256:
- 873f5b7d3ce2fbc7ee9151d1b9203d69945fced6dcf734ed633a08d03d2984f5
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