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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/Xunzi-Qwen2-1.5B-upos |
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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: 子曰學而時習之不亦説乎有朋自遠方來不亦樂乎人不知而不慍不亦君子乎 |
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--- |
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# Xunzi-Qwen2-1.5B-ud-causal |
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## Model Description |
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This is a LLaMA model pretrained for POS-tagging and dependency-parsing, derived from [Xunzi-Qwen2-1.5B-upos](https://huggingface.co/KoichiYasuoka/Xunzi-Qwen2-1.5B-upos) and [UD_Classical_Chinese-Kyoto](https://github.com/UniversalDependencies/UD_Classical_Chinese-Kyoto). |
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## How to Use |
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``` |
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from transformers import pipeline |
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nlp=pipeline("universal-dependencies","KoichiYasuoka/Xunzi-Qwen2-1.5B-ud-causal",trust_remote_code=True) |
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print(nlp("不入虎穴不得虎子")) |
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``` |
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