Update README.md

README.md

@@ -39,6 +39,20 @@ Upload a grayscale JPG into the model inference section and it will cast a predi
 Some are included in this repo. If the image contains an X, it is a negative cancer image.
 If an image name contains a Y it is positive.
 
+``` Python
+
+from huggingface_hub import hf_hub_download
+from PIL import Image
+
+abc= hf_hub_download(repo_id="oohtmeel/swin-tiny-patch4-finetuned-lung-cancer-ct-scans", 
+                filename="_X000a109d-56da-4c3f-8680-55afa04d6ae0.dcm.jpg.jpg")
+image = Image.open(abc)
+processor = AutoImageProcessor.from_pretrained("oohtmeel/swin-tiny-patch4-finetuned-lung-cancer-ct-scans")
+model = AutoModelForImageClassification.from_pretrained("oohtmeel/swin-tiny-patch4-finetuned-lung-cancer-ct-scans")
+inputs = processor(images=image, return_tensors="pt")
+outputs = model(**inputs)
+
+```
 
 
 ## Results