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README.md

@@ -85,13 +85,8 @@ For **26 parent subjects**, F1-score improves to **0.934** with full metadata.
 
 ```python
 from transformers import pipeline
-from custom_pipeline import ASJCMultiLabelPipeline
 
-pipe = pipeline(
-    task="text-classification",
-    model="asjc-classification/scibert_multilabel_asjc_classifier",
-    pipeline_class=ASJCMultiLabelPipeline
-)
+pipe = pipeline("text-classification", model="asjc-classification/scibert_multilabel_asjc_classifier")
 
 text = (
     "title={Jodometrie}, "
@@ -101,6 +96,12 @@ text = (
 
 result = pipe(text)
 print(result)
+
+# Actual labels: 
+# - Clinical Biochemistry
+# - Analytical Chemistry
+```
+
 ---
 
 ## 📖 Citation