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README.md
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Our model <font color="cornflowerblue">OTAS (Office Title Address Splitter) </font> is a Named Entity Recognition Classical Chinese language model that is intended to <font color="IndianRed">split the address portion in Classical Chinese office titles.</font>. This model is first inherited from raynardj/classical-chinese-punctuation-guwen-biaodian Classical Chinese punctuation model, and finetuned using over a 25,000 high-quality punctuation pairs collected CBDB group (China Biographical Database).
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### <font color="IndianRed"> How to use </font>
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Here is how to use this model to get the features of a given text in PyTorch:
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Our model <font color="cornflowerblue">OTAS (Office Title Address Splitter) </font> is a Named Entity Recognition Classical Chinese language model that is intended to <font color="IndianRed">split the address portion in Classical Chinese office titles.</font>. This model is first inherited from raynardj/classical-chinese-punctuation-guwen-biaodian Classical Chinese punctuation model, and finetuned using over a 25,000 high-quality punctuation pairs collected CBDB group (China Biographical Database).
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### <font color="IndianRed"> Sample input txt file </font>
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The sample input txt file can be downloaded here:
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https://huggingface.co/cbdb/OfficeTitleAddressSplitter/blob/main/vocab.txt
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### <font color="IndianRed"> How to use </font>
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Here is how to use this model to get the features of a given text in PyTorch:
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