Update README.md

README.md

@@ -10,11 +10,11 @@ pipeline_tag: text-classification
 tags:
 - toxic_classification
 ---
-# SpanCNN Model for Toxic Text Classification
+# SegmentCNN Model for Toxic Text Classification
 
 ## Overview
 
-The SpanCNN model is designed for toxic text classification, distinguishing between safe and toxic content. This model is part of the research presented in the paper titled [CMD: A Framework for Context-aware Model Self-Detoxification](https://arxiv.org/abs/2308.08295).
+The SegmentCNN model, a.k.a, SpanCNN, is designed for toxic text classification, distinguishing between safe and toxic content. This model is part of the research presented in the paper titled [CMD: A Framework for Context-aware Model Self-Detoxification](https://arxiv.org/abs/2308.08295).
 
 ## Model Details
 
@@ -25,7 +25,7 @@ The SpanCNN model is designed for toxic text classification, distinguishing betw
 
 ## Usage
 
-To use the SpanCNN model for toxic text classification, follow the example below:
+To use the SegmentCNN model for toxic text classification, follow the example below:
 
 ```python
 from transformers import pipeline