Update README.md

README.md

@@ -18,8 +18,12 @@ language:
 Pre-trained models can be used like this:
 ```
 from sentence_transformers import CrossEncoder
-model = CrossEncoder('model_name')
-scores = model.predict([('Sentence 1', 'Sentence 2'), ('Sentence 3', 'Sentence 4')])
+model = CrossEncoder('bongsoo/albert-small-kor-cross-encoder-v1')
+scores = model.predict([('대한민국', '제주도'), ('대한민국', '서울')])
+print(scores)
+```
+```
+[0.3342184  0.23371117]
 ```
 
 The model will predict scores for the pairs `('Sentence 1', 'Sentence 2')` and `('Sentence 3', 'Sentence 4')`.