Fix link in Pipeline documentation

src/transformers/pipelines/conversational.py

@@ -270,7 +270,7 @@ def __call__(self, conversations: Union[List[Dict], Conversation, List[Conversat
                 Whether or not to clean up the potential extra spaces in the text output.
             generate_kwargs:
                 Additional keyword arguments to pass along to the generate method of the model (see the generate method
-                corresponding to your framework [here](./model#generative-models)).
+                corresponding to your framework [here](./main_classes/text_generation)).
 
         Returns:
             [`Conversation`] or a list of [`Conversation`]: Conversation(s) with updated generated responses for those

src/transformers/pipelines/text2text_generation.py

@@ -154,7 +154,7 @@ def __call__(self, *args, **kwargs):
                 max_length instead of throwing an error down the line.
             generate_kwargs:
                 Additional keyword arguments to pass along to the generate method of the model (see the generate method
-                corresponding to your framework [here](./model#generative-models)).
+                corresponding to your framework [here](./main_classes/text_generation)).
 
         Return:
             A list or a list of list of `dict`: Each result comes as a dictionary with the following keys:
@@ -257,7 +257,7 @@ def __call__(self, *args, **kwargs):
                 Whether or not to clean up the potential extra spaces in the text output.
             generate_kwargs:
                 Additional keyword arguments to pass along to the generate method of the model (see the generate method
-                corresponding to your framework [here](./model#generative-models)).
+                corresponding to your framework [here](./main_classes/text_generation)).
 
         Return:
             A list or a list of list of `dict`: Each result comes as a dictionary with the following keys:
@@ -359,7 +359,7 @@ def __call__(self, *args, **kwargs):
                 for single pair translation models
             generate_kwargs:
                 Additional keyword arguments to pass along to the generate method of the model (see the generate method
-                corresponding to your framework [here](./model#generative-models)).
+                corresponding to your framework [here](./main_classes/text_generation)).
 
         Return:
             A list or a list of list of `dict`: Each result comes as a dictionary with the following keys:

src/transformers/pipelines/text_generation.py

@@ -240,7 +240,7 @@ def __call__(self, text_inputs, **kwargs):
                   truncate a lot of the prompt and not suitable when generation exceed the model capacity)
             generate_kwargs (`dict`, *optional*):
                 Additional keyword arguments to pass along to the generate method of the model (see the generate method
-                corresponding to your framework [here](./model#generative-models)).
+                corresponding to your framework [here](./main_classes/text_generation)).
 
         Return:
             A list or a list of lists of `dict`: Returns one of the following dictionaries (cannot return a combination