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KoichiYasuoka/Llama-3-Swallow-8B-upos
Llama-3-Swallow-8B-upos is a token classification model from KoichiYasuoka. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as llama3.
This is a LLaMA model for POS-tagging, derived from Llama-3-Swallow-8B-v0.1. Every short-unit-word is tagged by UPOS (Universal Part-Of-Speech) and FEATS.
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From the Hugging Face model README
This is a LLaMA model for POS-tagging, derived from Llama-3-Swallow-8B-v0.1. Every short-unit-word is tagged by UPOS (Universal Part-Of-Speech) and FEATS.
from transformers import pipeline
nlp=pipeline("upos","KoichiYasuoka/Llama-3-Swallow-8B-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。"))
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.