Upload README.md

README.md

@@ -7,7 +7,7 @@ tags:
 
 ---
 
-# {MODEL_NAME}
+# LaBSE-geonames-15K-MBML-3e-v1
 
 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
 
@@ -15,19 +15,21 @@ This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentence
 
 ## Usage (Sentence-Transformers)
 
-Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
+Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed and some other packages:
 
 ```
 pip install -U sentence-transformers
+pip install diffusers
+pip install safetensors
 ```
 
 Then you can use the model like this:
 
 ```python
 from sentence_transformers import SentenceTransformer
-sentences = ["This is an example sentence", "Each sentence is converted"]
+sentences = ["Vladivostok", "Astana"]
 
-model = SentenceTransformer('{MODEL_NAME}')
+model = SentenceTransformer('dima-does-code/LaBSE-geonames-15K-MBML-3e-v1')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```