Update README.md

README.md

@@ -123,18 +123,24 @@ The following hyperparameters were used during training:
 
 ```python
 import torch
-from transformers import AutoTokenizer, AutoModelForTokenClassification
-from transformers import pipeline
+from transformers import AutoModelForTokenClassification, AutoTokenizer, pipeline
 
 # Create NER pipeline
-ner_pipeline = pipeline("token-classification", model="MatteoFasulo/ModernBERT-base-NER", aggregation_strategy="simple", dtype=torch.bfloat16)
+ner_pipeline = pipeline(
+    "token-classification",
+    model="MatteoFasulo/ModernBERT-base-NER",
+    aggregation_strategy="simple",
+    dtype=torch.bfloat16,
+)
 
 # Example usage
 text = "Apple Inc. was founded by Steve Jobs in Cupertino, California."
 entities = ner_pipeline(text)
 
 for entity in entities:
-    print(f"{entity['word']}: {entity['entity_group']} (confidence: {entity['score']:.4f})")
+    print(
+        f"{entity['word']}: {entity['entity_group']} (confidence: {entity['score']:.4f})"
+    )
 ```
 
 ## Ethical Considerations