Update README.md

README.md

@@ -7,7 +7,9 @@ tags:
 
 ---
 
-# {MODEL_NAME}
+# contradiction-mini
+
+A model for the identification of contradiction sentences in patents using all-MiniLM-L6-v2
 
 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
 
@@ -27,7 +29,7 @@ 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('nategro/contradiction-mini')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```