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@@ -15,7 +15,7 @@ license: "apache-2.0"
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  ---
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  # SikuBERT
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  ## Model description
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- ![SikuBERT](https://raw.githubusercontent.com/SIKU-BERT/SikuBERT/main/appendix/sikubert.png)
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  Digital humanities research needs the support of large-scale corpus and high-performance ancient Chinese natural language processing tools. The pre-training language model has greatly improved the accuracy of text mining in English and modern Chinese texts. At present, there is an urgent need for a pre-training model specifically for the automatic processing of ancient texts. We used the verified high-quality “Siku Quanshu” full-text corpus as the training set, based on the BERT deep language model architecture, we constructed the SikuBERT and SikuRoBERTa pre-training language models for intelligent processing tasks of ancient Chinese.
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  ## How to use
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  ```python
@@ -25,4 +25,4 @@ model = AutoModel.from_pretrained("SIKU-BERT/sikubert")
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  ```
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  ## About Us
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  We are from Nanjing Agricultural University.
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- > Created with by SIKU-BERT [![Github icon](https://cdn0.iconfinder.com/data/icons/octicons/1024/mark-github-32.png)](https://github.com/SIKU-BERT)
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  ---
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  # SikuBERT
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  ## Model description
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+ ![SikuBERT](https://raw.githubusercontent.com/SIKU-BERT/SikuBERT-for-digital-humanities-and-classical-Chinese-information-processing/main/appendix/sikubert.png)
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  Digital humanities research needs the support of large-scale corpus and high-performance ancient Chinese natural language processing tools. The pre-training language model has greatly improved the accuracy of text mining in English and modern Chinese texts. At present, there is an urgent need for a pre-training model specifically for the automatic processing of ancient texts. We used the verified high-quality “Siku Quanshu” full-text corpus as the training set, based on the BERT deep language model architecture, we constructed the SikuBERT and SikuRoBERTa pre-training language models for intelligent processing tasks of ancient Chinese.
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  ## How to use
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  ```python
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  ```
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  ## About Us
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  We are from Nanjing Agricultural University.
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+ > Created with by SIKU-BERT [![Github icon](https://cdn0.iconfinder.com/data/icons/octicons/1024/mark-github-32.png)](https://github.com/SIKU-BERT/SikuBERT-for-digital-humanities-and-classical-Chinese-information-processing)