Instructions to use Kaynaaf/BrainMRI-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Kaynaaf/BrainMRI-Classifier with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Kaynaaf/BrainMRI-Classifier") - Notebooks
- Google Colab
- Kaggle
Download model.weights.h5 from Kaynaaf/BrainMRI-Classifier: direct link, hf CLI and curl.
- Browser
- Download file 538 MB
-
https://huggingface.co/Kaynaaf/BrainMRI-Classifier/resolve/main/model.weights.h5
- Command line
-
hf download hf://Kaynaaf/BrainMRI-Classifier/model.weights.h5
-
curl -L -o model.weights.h5 https://huggingface.co/Kaynaaf/BrainMRI-Classifier/resolve/main/model.weights.h5
538 MB
- Xet hash:
- 19ea55412159ea92c919e6b11feba90ee1812c09c8718a199b2cf68ce3ce481c
- Size of remote file:
- 538 MB
- SHA256:
- 14200035798362839b9ed9710bfcf3728aacd2097640d3eab61b1369cae936ec
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