Update README.md

README.md

@@ -5,10 +5,15 @@ tags:
 - sentence-transformers
 - feature-extraction
 - sentence-similarity
-
+language:
+- udm
+- en
+- ru
+datasets:
+- udmurtNLP/udmurt-russian-english-labse
 ---
 
-# {MODEL_NAME}
+# LaBSE finetuned on Udmurt-English parallel corpora
 
 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.
 
@@ -28,7 +33,7 @@ Then you can use the model like this:
 from sentence_transformers import SentenceTransformer
 sentences = ["This is an example sentence", "Each sentence is converted"]
 
-model = SentenceTransformer('{MODEL_NAME}')
+model = SentenceTransformer('udmurtNLP/labse-udm-eng')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```