Update README.md

README.md

@@ -17,6 +17,27 @@ This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentence
 
 <!--- Describe your model here -->
 
+## How to get sentence similarity
+
+```python
+from sentence_transformers import SentenceTransformer
+from sentence_transformers.util import pytorch_cos_sim
+
+
+transformer = SentenceTransformer('shihab17/bangla-sentence-transformer')
+
+sentences = ['আমি আপেল খেতে পছন্দ করি। ', 'আমার একটি আপেল মোবাইল আছে।','এইবার কমলার ফলনা ভাল হয়নি', 'বাচ্চাটি দেখতে আপেলের মত সুন্দর','আপেলের জুস আমার অনেক প্রিয়']
+
+sentences_embeddings = transformer.encode(sentences)
+
+for i in range(len(sentences)):
+    for j in range(i, len(sentences)):
+        sen_1 = sentences[i]
+        sen_2 = sentences[j]
+        sim_score = float(pytorch_cos_sim(sentences_embeddings[i], sentences_embeddings[j]))
+        print(sen_1, '----->', sen_2, sim_score)
+```
+
 ## Usage (Sentence-Transformers)
 
 Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
@@ -73,26 +94,6 @@ sentence_embeddings = mean_pooling(model_output, encoded_input['attention_mask']
 print("Sentence embeddings:")
 print(sentence_embeddings)
 ```
-## How to get sentence similarity
-
-```python
-from sentence_transformers import SentenceTransformer
-from sentence_transformers.util import pytorch_cos_sim
-
-
-transformer = SentenceTransformer('shihab17/bangla-sentence-transformer')
-
-sentences = ['আমি আপেল খেতে পছন্দ করি। ', 'আমার একটি আপেল মোবাইল আছে।','আপনি কি এখানে কাছাকাছি থাকেন?', 'আশেপাশে কেউ আছেন?']
-
-sentences_embeddings = transformer.encode(sentences)
-
-for i in range(len(sentences)):
-    for j in range(i, len(sentences)):
-        sen_1 = sentences[i]
-        sen_2 = sentences[j]
-        sim_score = float(pytorch_cos_sim(sentences_embeddings[i], sentences_embeddings[j]))
-        print(sen_1, '----->', sen_2, sim_score)
-```
 
 
 ## Evaluation Results