chore: formatting

modeling_seamless_m4t_v2_speech_encoder.py

@@ -14,7 +14,11 @@ from .configuration_seamless_m4t_v2_speech_encoder import (
 )
 from transformers.modeling_outputs import SequenceClassifierOutput
 
-from transformers.models.auto import AutoModel, AutoModelForAudioClassification, AutoModelForSequenceClassification
+from transformers.models.auto import (
+    AutoModel,
+    AutoModelForAudioClassification,
+    AutoModelForSequenceClassification,
+)
 
 
 class SeamlessM4Tv2SpeechEncoder(SeamlessM4Tv2SpeechEncoder):
@@ -88,7 +92,9 @@ class SeamlessM4Tv2ForAudioClassification(SeamlessM4Tv2PreTrainedModel):
             if self.config.problem_type is None:
                 if self.num_labels == 1:
                     self.config.problem_type = "regression"
-                elif self.num_labels > 1 and (labels.dtype == torch.long or labels.dtype == torch.int):
+                elif self.num_labels > 1 and (
+                    labels.dtype == torch.long or labels.dtype == torch.int
+                ):
                     self.config.problem_type = "single_label_classification"
                 else:
                     self.config.problem_type = "multi_label_classification"