from transformers import AutoFeatureExtractor, AutoModelForImageClassification
from PIL import Image

model_name = "dhineshkmar/stroke"
feature_extractor = AutoFeatureExtractor.from_pretrained(model_name)
model = AutoModelForImageClassification.from_pretrained(model_name)

image = Image.open("brain_scan.jpg")
inputs = feature_extractor(images=image, return_tensors="pt")
outputs = model(**inputs)
predicted_class = outputs.logits.argmax(-1).item()

Training

Architecture: CONVNEXT
Task: Image Classification
Classes: 2
Input Size: 224x224

Trained on brain MRI scan dataset for stroke detection.