Fix quality with `ruff==0.0.253` (#21828)

fix quality with ruff 0.0.253
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

src/transformers/models/blip_2/modeling_blip_2.py

@@ -347,7 +347,7 @@ BLIP_2_INPUTS_DOCSTRING = r"""
         pixel_values (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)`):
             Pixel values. Pixel values can be obtained using [`Blip2Processor`]. See [`Blip2Processor.__call__`] for
             details.
-        
+
         input_ids (`torch.LongTensor` of shape `(batch_size, sequence_length)`, *optional*):
             Indices of input sequence tokens in the vocabulary of the language model. Input tokens can optionally be
             provided to serve as text prompt, which the language model can continue.
@@ -366,10 +366,10 @@ BLIP_2_INPUTS_DOCSTRING = r"""
         decoder_input_ids (`torch.LongTensor` of shape `(batch_size, target_sequence_length)`, *optional*):
             Indices of decoder input sequence tokens in the vocabulary of the language model. Only relevant in case an
             encoder-decoder language model (like T5) is used.
-            
+
             Indices can be obtained using [`AutoTokenizer`]. See [`PreTrainedTokenizer.encode`] and
             [`PreTrainedTokenizer.__call__`] for details. [What are decoder input IDs?](../glossary#decoder-input-ids)
-        
+
         decoder_attention_mask (`torch.BoolTensor` of shape `(batch_size, target_sequence_length)`, *optional*):
             Default behavior: generate a tensor that ignores pad tokens in `decoder_input_ids`. Causal mask will also
             be used by default.