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Swallow-7b-plus-char-upos
KoichiYasuoka/Swallow-7b-plus-char-upos
Swallow-7b-plus-char-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 llama2.
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.
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- llama2
- Model type
- llama
- Access
- Public
- Created
- Jun 29, 2024
- Updated
- Aug 20, 2024
- SHA
- 40c5b84c
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Base models
Datasets
Model card
From the Hugging Face model README
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.
- Task
- Token Classification
- Library
- transformers
- Type
- llama
- License
- llama2
- Languages
- ja
- Created
- Jun 29, 2024
- Updated
- Aug 20, 2024