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Swallow-MS-7b-upos
KoichiYasuoka/Swallow-MS-7b-upos
Swallow-MS-7b-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 apache-2.0.
This is a Mistral model for POS-tagging, derived from Swallow-MS-7b-v0.1. Every short-unit-word is tagged by UPOS (Universal Part-Of-Speech) and FEATS.
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- mistral
- Access
- Public
- Created
- Mar 28, 2024
- Updated
- Jan 29, 2025
- SHA
- 56df8219
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Model card
From the Hugging Face model README
Swallow-MS-7b-upos
Model Description
This is a Mistral model for POS-tagging, derived from Swallow-MS-7b-v0.1. 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-MS-7b-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.
- Task
- Token Classification
- Library
- transformers
- Type
- mistral
- License
- apache-2.0
- Languages
- ja
- Created
- Mar 28, 2024
- Updated
- Jan 29, 2025