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initial release

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- license: llama2
 
 
 
 
 
 
 
 
 
 
 
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+ language:
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+ - "ja"
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+ tags:
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+ - "japanese"
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+ - "token-classification"
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+ - "pos"
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+ datasets:
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+ - "universal_dependencies"
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+ license: "llama2"
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+ pipeline_tag: "token-classification"
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+ widget:
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+ - text: "国境の長いトンネルを抜けると雪国であった。"
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+
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+ # Swallow-7b-plus-upos
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+
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+ ## Model Description
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+
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+ This is a LLaMA model for POS-tagging, derived from [Swallow-7b-plus-hf](https://huggingface.co/tokyotech-llm/Swallow-7b-plus-hf). Every short-unit-word is tagged by [UPOS](https://universaldependencies.org/u/pos/) (Universal Part-Of-Speech) and [FEATS](https://universaldependencies.org/u/feat/).
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+
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+ ## How to Use
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+
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+ ```py
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+ from transformers import pipeline
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+ nlp=pipeline("upos","KoichiYasuoka/Swallow-7b-plus-upos",trust_remote_code=True,aggregation_strategy="simple")
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+ print(nlp("国境の長いトンネルを抜けると雪国であった。"))
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+ ```
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+