Instructions to use feldaega17/xray-classifier-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use feldaega17/xray-classifier-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://feldaega17/xray-classifier-model") - Notebooks
- Google Colab
- Kaggle
Chest X-Ray Classifier (Keras)
This repository hosts a Keras model file (best_mod.keras) used by the corresponding Hugging Face Space demo.
- Predictions:
Atelectasis,Effusion,Infiltration - Input: RGB image resized to 224x224 and normalized
- Preprocessing: CLAHE enhancement applied to the L channel in LAB color space
Usage (Python)
import tensorflow as tf
from huggingface_hub import hf_hub_download
model_path = hf_hub_download(repo_id="<your-username>/<your-model-repo>", filename="best_mod.keras")
model = tf.keras.models.load_model(model_path)
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