Instructions to use dvsreddy/pneumonia-detection-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use dvsreddy/pneumonia-detection-model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://dvsreddy/pneumonia-detection-model") - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| tags: [medical-imaging, pneumonia, chest-xray, keras] | |
| # Pneumonia Detection — Chest X-ray Classifier | |
| Binary classifier (pneumonia vs no pneumonia) trained on the RSNA Pneumonia Detection | |
| Challenge dataset (26,684 DICOM chest X-rays). Transfer learning from ImageNet | |
| (ResNet50V2 / EfficientNetB0), input scaling embedded in the graph — feed raw | |
| [0, 255] pixels at the model's input resolution. | |