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ZetangForward
/
SegmentCNN

Text Classification
PyTorch
English
bert
toxic_classification
Model card Files Community
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Update README.md

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@@ -31,7 +31,7 @@ To use the SpanCNN model for toxic text classification, follow the example below
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  from transformers import pipeline
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  # Load the SpanCNN model
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- classifier = pipeline("spancnn-classification", model="ZetangForward/SpanCNN", trust_remote_code=True)
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  # Example 1: Safe text
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  pos_text = "You look good today~!"
 
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  from transformers import pipeline
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  # Load the SpanCNN model
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+ classifier = pipeline("spancnn-classification", model="ZetangForward/SegmentCNN", trust_remote_code=True)
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  # Example 1: Safe text
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  pos_text = "You look good today~!"