Update README.md

README.md

@@ -58,4 +58,32 @@ The goal of this model is to classify leaf images into three categories:
 + Datasets 2.14.5
 + Tokenizers 0.13.3
 
+## Get Started With The Model:
+```
+! pip -q  install datasets transformers[torch]
+```
+
+```python
+
+from transformers import pipeline
+from PIL import Image
+
+# Use a pipeline as a high-level helper
+
+pipe = pipeline("image-classification", model="ayoubkirouane/VIT_Beans_Leaf_Disease_Classifier")
 
+# Load the image
+
+image_path = "Your image_path "
+image = Image.open(image_path)
+
+# Run inference using the pipeline
+result = pipe(image)
+
+# The result contains the predicted label and the corresponding score
+predicted_label = result[0]['label']
+confidence_score = result[0]['score']
+
+print(f"Predicted Label: {predicted_label}")
+print(f"Confidence Score: {confidence_score}")
+```