Update README.md

README.md

@@ -49,7 +49,24 @@ Thus please make sure to feed only fundus image into the model to obtain reasona
 Use the code below to get started with the model.
 
 ```python
+from transformers import AutoImageProcessor, ResNetForImageClassification
+import torch
+from datasets import load_dataset
 
+dataset = load_dataset("huggingface/cats-image")
+image = dataset["test"]["image"][0]
+
+processor = AutoImageProcessor.from_pretrained("microsoft/resnet-50")
+model = ResNetForImageClassification.from_pretrained("microsoft/resnet-50")
+
+inputs = processor(image, return_tensors="pt")
+
+with torch.no_grad():
+    logits = model(**inputs).logits
+
+# model predicts one of the 1000 ImageNet classes
+predicted_label = logits.argmax(-1).item()
+print(model.config.id2label[predicted_label])
 
 ```