make cleaner

mteb/models/sentence_transformer_wrapper.py

@@ -22,7 +22,6 @@ def __init__(
         model: str | SentenceTransformer | CrossEncoder,
         revision: str | None = None,
         model_prompts: dict[str, str] | None = None,
-        use_model_similarity: bool = True,
         **kwargs,
     ) -> None:
         """Wrapper for SentenceTransformer models.
@@ -34,7 +33,6 @@ def __init__(
                 First priority is given to the composed prompt of task name + prompt type (query or passage), then to the specific task prompt,
                 then to the composed prompt of task type + prompt type, then to the specific task type prompt,
                 and finally to the specific prompt type.
-            use_model_similarity: Whether to use the model's similarity method.
             **kwargs: Additional arguments to pass to the SentenceTransformer model.
         """
         if isinstance(model, str):
@@ -62,7 +60,7 @@ def __init__(
         if isinstance(self.model, CrossEncoder):
             self.predict = self._predict
 
-        if hasattr(self.model, "similarity") and use_model_similarity:
+        if hasattr(self.model, "similarity") and not hasattr(self, "similarity"):
             self.similarity = self.model.similarity
 
     def encode(

mteb/models/sentence_transformers_models.py

@@ -384,7 +384,6 @@
         SentenceTransformerWrapperDotSimilarity,
         model="facebook/contriever-msmarco",
         revision="abe8c1493371369031bcb1e02acb754cf4e162fa",
-        use_model_similarity=False,
     ),
     name="facebook/contriever-msmarco",
     languages=["eng-Latn"],