Update README.md

README.md

@@ -106,17 +106,21 @@ This model is a BERT (bert-base-uncased) model fine-tuned using the Banking77 da
 | 74          | why_verify_identity                             |
 | 75          | wrong_amount_of_cash_received                   |
 | 76          | wrong_exchange_rate_for_cash_withdrawal         |
-Nasıl Eklenir:
 
-## Intended uses & limitations
+## Example
+```markdown
+from transformers import pipeline, AutoTokenizer
 
-More information needed
+text = "i forgot my PIN"
+model_id = "saribasmetehan/BERT-BankingClassifier"
 
-## Training and evaluation data
+classifier = pipeline("text-classification", model=model_id)
 
-More information needed
+preds = classifier(text)
+print(preds)
+
+#[{'label': 'LABEL_27', 'score': 0.9552194476127625}]
 
-## Training procedure
 
 ### Training hyperparameters