Update README.md

README.md

@@ -20,7 +20,6 @@ sentences = ["At 8pm protesters gathered on the main square and shouted 'end fos
 model = SentenceTransformer('{MODEL_NAME}')
 embeddings = model.encode(sentences)
 
-
 # Sentences we want sentence embeddings for
 sentences = ["At 8pm protesters gathered on the main square and shouted 'end fossil fuels'", "The German government demonstrated composure in its reaction to social media posts"]
 
@@ -30,6 +29,7 @@ model = AutoModel.from_pretrained('shaunss/protestforms_mpnet-base-v2')
 
 # Tokenize sentences
 encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')
+```
 
 <!--- Describe how your model was evaluated -->