Instructions to use starpreeda/BrainTumorTest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use starpreeda/BrainTumorTest 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://starpreeda/BrainTumorTest") - Notebooks
- Google Colab
- Kaggle
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Verified signature## 📈 Evaluation Results Model performance evaluated on the independent testing dataset: - **Overall Test Accuracy:** `~95-98%` - **Classification Performance:** <p align="center"> <img src="Figure_1.png" alt="Confusion Matrix" width="45%"> <img src="Figure_2.png" alt="Training Graphs" width="45%"> </p> **Note:** Performance metrics were calculated using `sklearn.metrics.classification_report` after fine-tuning the top 40 layers of EfficientNetB0.f33d4dd -
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