Update README.md

README.md

@@ -65,7 +65,7 @@ language_bcp47:
 pipeline_tag: sentence-similarity
 ---
 
-# sentence-transformers/paraphrase-multilingual-mpnet-base-v2
+# ammumadhu/kunato-indic-bert
 
 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.
 
@@ -85,7 +85,7 @@ 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('sentence-transformers/paraphrase-multilingual-mpnet-base-v2')
+model = SentenceTransformer('ammumadhu/kunato-indic-bert')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```