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README.md
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@@ -39,10 +39,11 @@ ngram_dict = ZenNgramDict.from_pretrained(pretrain_path, tokenizer=tokenizer)
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You can get classification and extraction examples below.
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[classification example on fengshen]()
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[extraction example on fengshen]()
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## Evaluation
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You can get classification and extraction examples below.
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[classification example on fengshen](https://github.com/IDEA-CCNL/Fengshenbang-LM/blob/main/fengshen/examples/zen2_finetune/fs_zen2_large_tnews.sh)
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[extraction example on fengshen](https://github.com/IDEA-CCNL/Fengshenbang-LM/blob/main/fengshen/examples/zen2_finetune/ner_zen2_large_ontonotes4.sh)
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## Evaluation
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