Minor

README.md

@@ -30,9 +30,9 @@ Sem-F1 takes 2 mandatory arguments:
 - `predictions` - List of predictions. Format varies based on `tokenize_sentences` and `multi_references` flags.
 - `references`: List of references. Format varies based on `tokenize_sentences` and `multi_references` flags.
 
+
 ```python
 from evaluate import load
-
 predictions = [
     ["I go to School. You are stupid."],
     ["I love adventure sports."],
@@ -47,6 +47,7 @@ for score in results:
     print(f"Precision: {score.precision}, Recall: {score.recall}, F1: {score.f1}")
 ```
 
+
 Sem-F1 also accepts multiple optional arguments:
    - `model_type (str)`: Model to use for encoding sentences. Options: ['pv1', 'stsb', 'use']
      - `pv1` - [paraphrase-distilroberta-base-v1](https://huggingface.co/sentence-transformers/paraphrase-distilroberta-base-v1)