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tarirozw/
medsiglip-diagnosis

Name: medsiglip-diagnosis
Availability: InStock

transformers

safetensors

siglip

zero-shot-image-classification

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🩺 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.

📊 Model Details

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

🚀 Inference API

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

python

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)

tarirozw/medsiglip-diagnosis

🩺 MedSigLip Diagnosis Model

📊 Model Details

🚀 Inference API

tarirozw/
medsiglip-diagnosis