language	en
library_name	transformers
pipeline_tag	image-classification
tags	vision cervical-cancer diagnosis
license	apache-2.0

🩺 MedSigLip Diagnosis Model

This repository contains MedSigLip, a deep learning model for cervical cancer image diagnosis.
It takes colposcopy images as input and predicts the most likely stage/class of the condition.

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📊 Model Details

• Task: Image Classification
• Domain: Healthcare – Cervical Cancer Diagnosis
• Framework: Hugging Face Transformers / PyTorch
• Author: Khanyi Tapiwa Magagula (AI Eswatini)
• Link: Hugging Face – MedSigLIP Diagnosis

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🚀 Inference API

Once the Inference API is enabled, you can run predictions without any setup. Example:

from huggingface_hub import InferenceClient

# Replace with your repo name
client = InferenceClient("KhanyiTapiwa00/medsiglip-diagnosis")

# Run image classification
result = client.image_classification("1_10.jpg")

print(result)