Update README.md

README.md

@@ -8,7 +8,9 @@ tags:
 
 ---
 
-# {MODEL_NAME}
+# nps-psb
+
+A model for the identification of problem and solution sentences in patents using PatentSBERTa
 
 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 +30,7 @@ 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/nps-psb')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```