Instructions to use MohammedAH/Brrain-MRI-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use MohammedAH/Brrain-MRI-Classification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://MohammedAH/Brrain-MRI-Classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7f1732beab64fe40b1272c9b93889b9648926c1e5e3cdaf93faf29191d4288a
- Size of remote file:
- 134 MB
- SHA256:
- 2da1e92a4e606e3110571cc1ccd6b283ff8d510e33a9bd2c5064e733be8ac05b
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