Update README.md

README.md

@@ -5,7 +5,15 @@ tags:
 - feature-extraction
 - sentence-similarity
 - transformers
-
+- sbert
+- embeddings
+- multilingual
+- en
+- uk
+- ru
+license: mit
+datasets:
+- tatoeba
 ---
 
 # {MODEL_NAME}
@@ -14,6 +22,14 @@ This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentence
 
 <!--- Describe your model here -->
 
+# uaritm/multilingual_en_uk_ru
+
+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.
+
+An old version of this model is available here: [uaritm/multilingual_en_ru_uk](https://huggingface.co/uaritm/multilingual_en_ru_uk)
+A new  model, that adds Vietnamese is available here: [uaritm/enukruvie](https://huggingface.co/uaritm/enukruvie)
+<!--- Describe your model here -->
+
 ## Usage (Sentence-Transformers)
 
 Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
@@ -123,5 +139,13 @@ SentenceTransformer(
 ```
 
 ## Citing & Authors
+```
+@misc{Uaritm,
+      title={sentence-transformers: Semantic similarity of medical texts}, 
+      author={Vitaliy Ostashko},
+      year={2023},
+      url={https://aihealth.site},
+}
+```
 
 <!--- Describe where people can find more information -->