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  language: zh
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  tags:
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  - summarization
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- inference: False
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  ---
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  IDEA-CCNL/Randeng_Pegasus_238M_Summary_Chinese model (Chinese) has 238M million parameter, pretrained on 180G Chinese data with GSG task which is stochastically sample important sentences with sampled gap sentence ratios by 25%. The pretraining task just as same as the paper PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization mentioned.
 
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  language: zh
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  tags:
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  - summarization
 
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  ---
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  IDEA-CCNL/Randeng_Pegasus_238M_Summary_Chinese model (Chinese) has 238M million parameter, pretrained on 180G Chinese data with GSG task which is stochastically sample important sentences with sampled gap sentence ratios by 25%. The pretraining task just as same as the paper PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization mentioned.