Instructions to use nehda10/covid-xray-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use nehda10/covid-xray-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://nehda10/covid-xray-model") - Notebooks
- Google Colab
- Kaggle
π§ COVID-19 Chest X-ray Classification Model
This repository contains a trained deep learning model (covid_xray_model.keras) for detecting COVID-19, Normal, and Viral Pneumonia cases from chest X-ray images.
πΎ Model Details
- Input Shape: 224 x 224 x 3
- Framework: TensorFlow / Keras
- Output Classes:
- COVID
- NORMAL
- Viral Pneumonia
π¦ File Info
- Model File:
covid_xray_model.keras - Size: ~273 MB
- Tracked with: Git LFS
π οΈ Usage
To use this model in Python:
from huggingface_hub import hf_hub_download
from tensorflow.keras.models import load_model
# Download the model
model_path = hf_hub_download(repo_id="your-username/model-repo-name", filename="covid_xray_model.keras")
# Load the model
model = load_model(model_path)
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