Instructions to use palawakampa/Pneumonia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use palawakampa/Pneumonia with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://palawakampa/Pneumonia") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
π©Ί Pneumonia Diagnosis Model (ResNet50V2)
This model classifies Chest X-Ray / CT Scan images as:
- π’ Normal
- π΄ Pneumonia
π Metrics
- Accurancy: 94.23%
- Precision: 93.38%
- Recall: 97.69%
- f1-score: 95.49%
Confusion Matrix:
- TN:207, FP:27
- FN:9, TP:381
πΎ Files
modelbarukeci.h5β main modelmodelbarukecil.tfliteβ optimized version for mobile/webassets.jsonβ label and threshold metadata
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