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--- |
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language: |
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- "ja" |
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tags: |
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- "japanese" |
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- "pos" |
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- "dependency-parsing" |
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base_model: rinna/japanese-gpt-1b |
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datasets: |
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- "universal_dependencies" |
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license: "mit" |
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pipeline_tag: "token-classification" |
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widget: |
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- text: "全学年にわたって小学校の国語の教科書に挿し絵が用いられている" |
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--- |
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# rinna-gpt2-1b-japanese-ud-causal |
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## Model Description |
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This is a GPT-2 model pretrained for POS-tagging and dependency-parsing, derived from [japanese-gpt-1b](https://huggingface.co/rinna/japanese-gpt-1b) refined for [UD_Japanese-GSDLUW](https://github.com/UniversalDependencies/UD_Japanese-GSDLUW). |
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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/rinna-gpt2-1b-japanese-ud-causal",trust_remote_code=True) |
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print(nlp("全学年にわたって小学校の国語の教科書に挿し絵が用いられている")) |
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``` |
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