Update README.md

README.md

@@ -78,9 +78,9 @@ ngram_dict = ZenNgramDict.from_pretrained(pretrain_path, tokenizer=tokenizer)
 
 You can get classification and extraction examples below.
 
-[分类 classification example on fengshen](https://github.com/IDEA-CCNL/Fengshenbang-LM/blob/main/fengshen/examples/zen2_finetune/fs_zen2_base_tnews.sh)
+[分类 classification example on fengshen](https://github.com/IDEA-CCNL/Fengshenbang-LM/blob/main/fengshen/examples/zen2_finetune/fs_zen2_large_tnews.sh)
 
-[抽取 extraction example on fengshen](https://github.com/IDEA-CCNL/Fengshenbang-LM/blob/main/fengshen/examples/zen2_finetune/ner_zen2_base_ontonotes4.sh)
+[抽取 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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