Better docs, add note about pipeline components

src/transformers/pipelines/__init__.py

@@ -711,6 +711,12 @@ def pipeline(
             Additional keyword arguments passed along to the specific pipeline init (see the documentation for the
             corresponding pipeline class for possible values).
 
+    Note:
+        While there are such optional arguments as `tokenizer`, `feature_extractor`, `image_processor`, and `processor`,
+        they shouldn't be specified all at once. If these components are not provided, `pipeline` will try to load
+        required ones automatically. In case you want to provide these components explicitly, please refer to a
+        specific pipeline in order to get more details regarding what components are required.
+
     Returns:
         [`Pipeline`]: A suitable pipeline for the task.
 

src/transformers/pipelines/base.py

@@ -744,7 +744,8 @@ def build_pipeline_init_args(
         docstring += r"""
         processor ([`ProcessorMixin`]):
             The processor that will be used by the pipeline to encode data for the model. This object inherits from
-            [`ProcessorMixin`]."""
+            [`ProcessorMixin`]. Processor is a composite object that might contain `tokenizer`, `feature_extractor`, and
+            `image_processor`."""
     docstring += r"""
         modelcard (`str` or [`ModelCard`], *optional*):
             Model card attributed to the model for this pipeline.
@@ -798,7 +799,7 @@ def build_pipeline_init_args(
     )
 
 
-@add_end_docstrings(build_pipeline_init_args(has_tokenizer=True, has_feature_extractor=True, has_image_processor=True))
+@add_end_docstrings(build_pipeline_init_args(has_tokenizer=True, has_feature_extractor=True, has_image_processor=True, has_processor=True))
 class Pipeline(_ScikitCompat, PushToHubMixin):
     """
     The Pipeline class is the class from which all pipelines inherit. Refer to this class for methods shared across