evaluation script links

README.md

@@ -121,9 +121,9 @@ sentence_pair_scores = cosine_scores.diag()
 df["model_score"] = sentence_pair_scores.cpu().tolist()
 print(df[["score", "model_score"]].corr(method="spearman"))
 print(df[["score", "model_score"]].corr(method="pearson"))
+```
 
 Examples how to evaluate the model on other test sets of the SuperLim suites can be found on the following links: [evaluate_faq.py](https://github.com/kb-labb/swedish-sbert/blob/main/evaluate_faq.py) (Swedish FAQ), [evaluate_swesat.py](https://github.com/kb-labb/swedish-sbert/blob/main/evaluate_swesat.py) (SweSAT synonyms), [evaluate_supersim.py](https://github.com/kb-labb/swedish-sbert/blob/main/evaluate_supersim.py) (SuperSim).
-```
 
 ## Training