🚨🚨🚨 image-classification pipeline single-label and multi-label prob type squashing fns (sigmoid vs softmax) are backwards (#35848)

single-label and multi-label prob type squashing fns (sigmoid vs softmax) were backwards for image-classification pipeline

Author: rwightman

src/transformers/pipelines/image_classification.py

@@ -189,9 +189,9 @@ def _forward(self, model_inputs):
 
     def postprocess(self, model_outputs, function_to_apply=None, top_k=5):
         if function_to_apply is None:
-            if self.model.config.problem_type == "single_label_classification" or self.model.config.num_labels == 1:
+            if self.model.config.problem_type == "multi_label_classification" or self.model.config.num_labels == 1:
                 function_to_apply = ClassificationFunction.SIGMOID
-            elif self.model.config.problem_type == "multi_label_classification" or self.model.config.num_labels > 1:
+            elif self.model.config.problem_type == "single_label_classification" or self.model.config.num_labels > 1:
                 function_to_apply = ClassificationFunction.SOFTMAX
             elif hasattr(self.model.config, "function_to_apply") and function_to_apply is None:
                 function_to_apply = self.model.config.function_to_apply