Swallow-7b-plus-char-upos
Model Description
This is a LLaMA model for POS-tagging, derived from Swallow-7b-plus-hf. Every short-unit-word is tagged by UPOS (Universal Part-Of-Speech) and FEATS.
How to Use
from transformers import pipeline
nlp=pipeline("upos","KoichiYasuoka/Swallow-7b-plus-char-upos",trust_remote_code=True,aggregation_strategy="simple")
print(nlp("国境の長いトンネルを抜けると雪国であった。"))
Reference
安岡孝一: GPT系モデルの系列ラベリングによる品詞付与, 東洋学へのコンピュータ利用, 第38回研究セミナー (2024年7月26日), pp.3-10.
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Model tree for KoichiYasuoka/Swallow-7b-plus-char-upos
Base model
tokyotech-llm/Swallow-7b-plus-hf