Instructions to use ViettNguyen21/brain_msi_segmentation_effunet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ViettNguyen21/brain_msi_segmentation_effunet 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://ViettNguyen21/brain_msi_segmentation_effunet") - Notebooks
- Google Colab
- Kaggle
Download load_data.ipynb from ViettNguyen21/brain_msi_segmentation_effunet: direct link, hf CLI and curl.
- Browser
- Download file 691 kB
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https://huggingface.co/ViettNguyen21/brain_msi_segmentation_effunet/resolve/main/load_data.ipynb
- Command line
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hf download hf://ViettNguyen21/brain_msi_segmentation_effunet/load_data.ipynb
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curl -L -o load_data.ipynb https://huggingface.co/ViettNguyen21/brain_msi_segmentation_effunet/resolve/main/load_data.ipynb
691 kB