Edit model card

Swallow-MS-7b-char-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-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.

Downloads last month
7
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for KoichiYasuoka/Swallow-MS-7b-char-upos

Finetuned
(4)
this model

Dataset used to train KoichiYasuoka/Swallow-MS-7b-char-upos