Update README.md

README.md

@@ -12,6 +12,7 @@ Base model is [google/muril-base-cased](https://huggingface.co/google/muril-base
 
 ## Usage
 ### example: 
+```python
 model = AutoModelForTokenClassification.from_pretrained("MichaelHuang/muril_base_cased_urdu_sentiment")
 tokenizer = AutoTokenizer.from_pretrained("google/muril-base-cased")
 
@@ -40,3 +41,4 @@ predictions = ner_predict(test_sentence, model, tokenizer)
 
 for token, label in predictions:
     print(f"{token}: {label}")
+```