Update README.md

README.md

@@ -39,8 +39,9 @@ You can use this model directly with a pipeline for text classification, or you
 First, install the transformers library if you haven't already:
 ```bash
 pip install transformers
+```
 
-
+```
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
 import torch
 
@@ -64,6 +65,8 @@ predicted_class_index = probabilities.argmax().item()
 labels = ["az", "ar", "bg", "de", "el", "en", "es", "fr", "hi", "it", "ja", "nl", "pl", "pt", "ru", "sw", "th", "tr", "ur", "vi", "zh"]
 predicted_label = labels[predicted_class_index]
 print(f"Predicted Language: {predicted_label}")
+```
+
 
 
 Training Performance