Update README.md

README.md

@@ -9,7 +9,7 @@ tags:
 
 # mchochlov/codebert-base-cd-ft
 
-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.
+This is a [sentence-transformers](https://www.SBERT.net) model: It maps code to a 768 dimensional dense vector space and is specifically fine tuned towards clone detection using contrastive learning on parts of BigCloneBench code.
 
 <!--- Describe your model here -->
 
@@ -25,10 +25,10 @@ Then you can use the model like this:
 
 ```python
 from sentence_transformers import SentenceTransformer
-sentences = ["This is an example sentence", "Each sentence is converted"]
+code_fragments = [...]
 
 model = SentenceTransformer('mchochlov/codebert-base-cd-ft')
-embeddings = model.encode(sentences)
+embeddings = model.encode(code_fragments)
 print(embeddings)
 ```