Update README.md

README.md

@@ -109,6 +109,31 @@ print( result)
 [{'label': 'paraphrase', 'score': 0.9801033139228821}, {'label': 'not_paraphrase', 'score': 0.9302119016647339}]
 ```
 
+Using AutoModel & AutoTokenizer:
+
+
+```python
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+import torch
+
+tokenizer = AutoTokenizer.from_pretrained("azherali/bert_paraphrase")
+model = AutoModelForSequenceClassification.from_pretrained("azherali/bert_paraphrase")
+
+# Example sentences
+sent1 = "The quick brown fox jumps over the lazy dog."
+sent2 = "A fast brown fox leaps over a lazy dog."
+
+inputs = tokenizer(sent1, sent2, return_tensors="pt")
+outputs = model(**inputs)
+
+logits = outputs.logits
+predicted_class = torch.argmax(logits, dim=1).item()
+
+print("Prediction:", model.config.id2label[predicted_class])
+Prediction: paraphrase
+```
+
+
 ## Training and evaluation data
 
 More information needed