Update README.md

README.md

@@ -15,7 +15,7 @@ license: "apache-2.0"
 ---
 # SikuBERT
 ## Model description
-![SikuBERT](https://raw.githubusercontent.com/SIKU-BERT/SikuBERT/main/appendix/sikubert.png)
+![SikuBERT](https://raw.githubusercontent.com/SIKU-BERT/SikuBERT-for-digital-humanities-and-classical-Chinese-information-processing/main/appendix/sikubert.png)
 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. 
 ## How to use
 ```python
@@ -25,4 +25,4 @@ model = AutoModel.from_pretrained("SIKU-BERT/sikubert")
 ```
 ## About Us
 We are from Nanjing Agricultural University.
-> Created with by SIKU-BERT [![Github icon](https://cdn0.iconfinder.com/data/icons/octicons/1024/mark-github-32.png)](https://github.com/SIKU-BERT) 
+> 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)