Update README.md

README.md

@@ -34,12 +34,27 @@ pip install -U sentence-transformers
 Then you can use the model like this:
 
 ```python
+import numpy as np
 from sentence_transformers import SentenceTransformer
-sentences = ["This is an example sentence", "Each sentence is converted"]
+```
 
+```python
 model = SentenceTransformer('FractalGPT/SberDistil')
-embeddings = model.encode(sentences)
-print(embeddings)
+
+def cos(x, y):
+  return np.dot(x, y)/(np.linalg.norm(x)*np.linalg.norm(y))
+```
+
+```python
+text_1 = "Кто такой большой кот?"
+text_2 = "Who is kitty?"
+a = model.encode(text_1)
+b = model.encode(text_2)
+cos(a, b)
+```
+
+```
+>>> 0.8072159157330788
 ```
 
 ## Training