Correct base model detection

src/transformers/pipelines/base.py

@@ -1038,7 +1038,12 @@ class Pipeline(_ScikitCompat):
                     else:
                         supported_models_names.append(model.__name__)
             supported_models = supported_models_names
-        if self.model.__class__.__name__ not in supported_models:
+        if "Peft" in self.model.__class__.__name__ and hasattr(self.model, "base_model"):
+            # Peft models wrap a base model class, so let's look at the base class instead in that case
+            class_name = self.model.base_model.model.__class__.__name__
+        else:
+            class_name = self.model.__class__.__name__
+        if class_name not in supported_models:
             logger.error(
                 f"The model '{self.model.__class__.__name__}' is not supported for {self.task}. Supported models are"
                 f" {supported_models}."