Update README.md

README.md

@@ -8,7 +8,7 @@ This is best-base-cased model trained on the binary dataset prepared for adverti
 
 ## Example of classification
 
-'''python
+```python
 from transformers import AutoModelForSequenceClassification
 from transformers import AutoTokenizer
 import numpy as np
@@ -22,7 +22,7 @@ scores = output[0][0].detach().to('cpu').numpy()
 scores = softmax(scores)
 prediction_class = np.argmax(scores)
 print(prediction_class)
-'''
+```
 Output: 
 ```
 1