Update black formatting

README.md

@@ -97,7 +97,11 @@ You can use this model for text classification with the `transformers` library:
 from transformers import pipeline
 
 # Load the text classification pipeline
-classifier = pipeline("text-classification", model="MatteoFasulo/mdeberta-v3-base-subjectivity-english", tokenizer="microsoft/mdeberta-v3-base")
+classifier = pipeline(
+    "text-classification",
+    model="MatteoFasulo/mdeberta-v3-base-subjectivity-english",
+    tokenizer="microsoft/mdeberta-v3-base",
+)
 
 # Example usage for an objective sentence
 text1 = "The company reported a 10% increase in profits in the last quarter."