linting

lm_eval/models/huggingface.py

@@ -583,7 +583,9 @@ class HFLM(TemplateLM):
             if self._model.config.vocab_size != len(self.tokenizer):
                 # resize model for LoRAs with added tokens
                 self._model.resize_token_embeddings(len(self.tokenizer))
-                eval_logger.info(f"Model config indicates vocab_size='{self._model.config.vocab_size}', but found tokenizer with vocab size '{len(self.tokenizer)}'. Resizing model embedding layer...") 
+                eval_logger.info(
+                    f"Model config indicates vocab_size='{self._model.config.vocab_size}', but found tokenizer with vocab size '{len(self.tokenizer)}'. Resizing model embedding layer..."
+                )
             self._model = PeftModel.from_pretrained(
                 self._model, peft, revision=revision
             )