Fix doc formatting in forward passes & modular (#36243)

* fix indentation issues + modular without magic keyword

* style

* Update doc.py

* style

* Fix all decorators indentation

* all models

* style

* style

* Update doc.py

* fix

* general fix

* style

src/transformers/models/aria/modeling_aria.py

@@ -1193,7 +1193,6 @@ class AriaTextForCausalLM(AriaTextPreTrainedModel, GenerationMixin):
         **kwargs: Unpack[KwargsForCausalLM],
     ) -> Union[Tuple, CausalLMOutputWithPast]:
         r"""
-        Args:
             labels (`torch.LongTensor` of shape `(batch_size, sequence_length)`, *optional*):
                 Labels for computing the masked language modeling loss. Indices should either be in `[0, ...,
                 config.vocab_size]` or -100 (see `input_ids` docstring). Tokens with indices set to `-100` are ignored
@@ -1458,7 +1457,6 @@ class AriaForConditionalGeneration(AriaPreTrainedModel, GenerationMixin):
         **loss_kwargs,
     ) -> Union[Tuple, AriaCausalLMOutputWithPast]:
         r"""
-        Args:
             labels (`torch.LongTensor` of shape `(batch_size, sequence_length)`, *optional*):
                 Labels for computing the masked language modeling loss. Indices should either be in `[0, ...,
                 config.vocab_size]` or `model.image_token_id` (where `model` is your instance of `Idefics3ForConditionalGeneration`).

src/transformers/models/aria/modular_aria.py

@@ -1437,7 +1437,6 @@ class AriaForConditionalGeneration(AriaPreTrainedModel, GenerationMixin):
         **loss_kwargs,
     ) -> Union[Tuple, AriaCausalLMOutputWithPast]:
         r"""
-        Args:
             labels (`torch.LongTensor` of shape `(batch_size, sequence_length)`, *optional*):
                 Labels for computing the masked language modeling loss. Indices should either be in `[0, ...,
                 config.vocab_size]` or `model.image_token_id` (where `model` is your instance of `Idefics3ForConditionalGeneration`).