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  1. README.md +7 -7
README.md CHANGED
@@ -19,10 +19,10 @@ Pretrained model on oldhan Chinese language using a masked language modeling (ML
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  ## Training Datasets
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  The copyright of the datasets belongs to the Institute of Linguistics, Academia Sinica.
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- * [中央研究院上古漢語標記語料庫](http://lingcorpus.iis.sinica.edu.tw/cgi-bin/kiwi/akiwi/kiwi.sh?ukey=-406192123&qtype=-1)
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- * [中央研究院中古漢語語料庫](http://lingcorpus.iis.sinica.edu.tw/cgi-bin/kiwi/dkiwi/kiwi.sh?ukey=852967425&qtype=-1)
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- * [中央研究院近代漢語語料庫](http://lingcorpus.iis.sinica.edu.tw/cgi-bin/kiwi/pkiwi/kiwi.sh?ukey=-299696128&qtype=-1)
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- * [中央研究院現代漢語語料庫](http://lingcorpus.iis.sinica.edu.tw/cgi-bin/kiwi/mkiwi/kiwi.sh)
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  ## Contributors
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  * Chin-Tung Lin at [CKIP](https://ckip.iis.sinica.edu.tw/)
@@ -36,14 +36,14 @@ The copyright of the datasets belongs to the Institute of Linguistics, Academia
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  AutoModel,
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  )
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- tokenizer = AutoTokenizer.from_pretrained("ckiplab/oldhan-bert-base-chinese")
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- model = AutoModel.from_pretrained("ckiplab/oldhan-bert-base-chinese")
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  ```
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  * Using our model for inference
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  ```python
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  >>> from transformers import pipeline
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- >>> unmasker = pipeline('fill-mask', model='ckiplab/oldhan-bert-base-chinese')
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  >>> unmasker("黎[MASK]於變時雍。")
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  [{'sequence': '黎 民 於 變 時 雍 。',
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  ## Training Datasets
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  The copyright of the datasets belongs to the Institute of Linguistics, Academia Sinica.
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+ * [中央研究院上古漢語標記語料庫](http://lingcorpus.iis.sinica.edu.tw/cgi-bin/kiwi/akiwi/kiwi.sh)
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+ * [中央研究院中古漢語語料庫](http://lingcorpus.iis.sinica.edu.tw/cgi-bin/kiwi/dkiwi/kiwi.sh)
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+ * [中央研究院近代漢語語料庫](http://lingcorpus.iis.sinica.edu.tw/cgi-bin/kiwi/pkiwi/kiwi.sh)
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+ * [中央研究院現代漢語語料庫](http://asbc.iis.sinica.edu.tw)
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  ## Contributors
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  * Chin-Tung Lin at [CKIP](https://ckip.iis.sinica.edu.tw/)
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  AutoModel,
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  )
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+ tokenizer = AutoTokenizer.from_pretrained("ckiplab/han-bert-base-chinese")
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+ model = AutoModel.from_pretrained("ckiplab/han-bert-base-chinese")
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  ```
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  * Using our model for inference
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  ```python
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  >>> from transformers import pipeline
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+ >>> unmasker = pipeline('fill-mask', model='ckiplab/han-bert-base-chinese')
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  >>> unmasker("黎[MASK]於變時雍。")
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  [{'sequence': '黎 民 於 變 時 雍 。',