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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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- "wikipedia" |
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- "cc100" |
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- "oscar" |
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- "pos" |
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- "dependency-parsing" |
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base_model: ku-nlp/deberta-v2-base-japanese |
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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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--- |
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# deberta-base-japanese-juman-ud-goeswith |
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## Model Description |
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This is a DeBERTa(V2) model pretrained on Japanese Wikipedia, CC-100, and OSCAR texts for POS-tagging and dependency-parsing (using `goeswith` for subwords), derived from [deberta-v2-base-japanese](https://huggingface.co/ku-nlp/deberta-v2-base-japanese). |
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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/deberta-base-japanese-juman-ud-goeswith",trust_remote_code=True,aggregation_strategy="simple") |
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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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