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--- |
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language: |
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- "lzh" |
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tags: |
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- "classical chinese" |
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- "literary chinese" |
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- "ancient chinese" |
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- "token-classification" |
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- "pos" |
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- "dependency-parsing" |
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base_model: KoichiYasuoka/roberta-classical-chinese-base-char |
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datasets: |
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- "universal_dependencies" |
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license: "apache-2.0" |
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pipeline_tag: "token-classification" |
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widget: |
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- text: "孟子見梁惠王" |
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--- |
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# roberta-classical-chinese-base-ud-embeds |
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## Model Description |
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This is a RoBERTa model pre-trained on Classical Chinese texts for POS-tagging and dependency-parsing, derived from [roberta-classical-chinese-base-char](https://huggingface.co/KoichiYasuoka/roberta-classical-chinese-base-char) and [UD_Classical_Chinese-Kyoto](https://github.com/UniversalDependencies/UD_Classical_Chinese-Kyoto). |
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## How to Use |
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```py |
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from transformers import pipeline |
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nlp=pipeline("universal-dependencies","KoichiYasuoka/roberta-classical-chinese-base-ud-embeds",trust_remote_code=True) |
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print(nlp("孟子見梁惠王")) |
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``` |
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