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CogComp
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bart-faithful-summary-detector

Text Classification
Transformers
PyTorch
JAX
English
bart
xsum
Inference Endpoints
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1
Sihao Chen commited on
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1 Parent(s): ec1a43e

Update README.md

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README.md CHANGED
@@ -31,7 +31,7 @@ from transformers import AutoTokenizer, AutoModelForSequenceClassification
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  tokenizer = AutoTokenizer.from_pretrained("CogComp/bart-faithful-summary-detector")
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  model = AutoModelForSequenceClassification.from_pretrained("CogComp/bart-faithful-summary-detector")
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- article = "Ban-Ki Moon was re-elected for a second term by the UN General Assembly, unopposed and unanimously, on 21 June 2011"
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  bad_summary = "Ban Ki-moon was elected for a second term in 2007"
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  good_summary = "Ban Ki-moon was elected for a second term in 2011"
 
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  tokenizer = AutoTokenizer.from_pretrained("CogComp/bart-faithful-summary-detector")
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  model = AutoModelForSequenceClassification.from_pretrained("CogComp/bart-faithful-summary-detector")
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+ article = "Ban Ki-Moon was re-elected for a second term by the UN General Assembly, unopposed and unanimously, on 21 June 2011"
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  bad_summary = "Ban Ki-moon was elected for a second term in 2007"
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  good_summary = "Ban Ki-moon was elected for a second term in 2011"