Reverting load_feature_extractor and load_image_processor

Author: Rocketknight1

src/transformers/pipelines/__init__.py

@@ -909,16 +909,8 @@ def pipeline(
         or model_config.tokenizer_class is not None
         or isinstance(tokenizer, str)
     )
-    load_feature_extractor = (
-        type(model_config) in FEATURE_EXTRACTOR_MAPPING
-        or feature_extractor is not None
-        or isinstance(feature_extractor, str)
-    )
-    load_image_processor = (
-        type(model_config) in IMAGE_PROCESSOR_MAPPING
-        or image_processor is not None
-        or isinstance(image_processor, str)
-    )
+    load_feature_extractor = type(model_config) in FEATURE_EXTRACTOR_MAPPING or feature_extractor is not None
+    load_image_processor = type(model_config) in IMAGE_PROCESSOR_MAPPING or image_processor is not None
 
     # If `model` (instance of `PretrainedModel` instead of `str`) is passed (and/or same for config), while
     # `image_processor` or `feature_extractor` is `None`, the loading will fail. This happens particularly for some