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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: KoichiYasuoka/gpt2-small-japanese-wikipedia-juman-upos |
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datasets: |
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- "universal_dependencies" |
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license: "cc-by-sa-4.0" |
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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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# gpt2-small-japanese-wikipedia-juman-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 [gpt2-small-japanese-wikipedia-juman-upos](https://huggingface.co/KoichiYasuoka/gpt2-small-japanese-wikipedia-juman-upos) and [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/gpt2-small-japanese-wikipedia-juman-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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[fugashi](https://pypi.org/project/fugashi) is required. |
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