Update README.md

README.md

@@ -32,22 +32,15 @@ Then you can use the model like this:
 
 ```python
 from sentence_transformers import SentenceTransformer
-sentences = ["This is an example sentence", "Each sentence is converted"]
+cities = ["Vladivostok", "Moscow"]
 
 model = SentenceTransformer('artefucktor/LaBSE_geonames_RU')
-embeddings = model.encode(sentences)
+embeddings = model.encode(cities)
 print(embeddings)
 ```
 
 
 
-## Evaluation Results
-
-<!--- Describe how your model was evaluated -->
-
-For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})
-
-
 ## Training
 The model was trained with the parameters: