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lfm2-700m-japanese-ud-embeds
KoichiYasuoka/lfm2-700m-japanese-ud-embeds
lfm2-700m-japanese-ud-embeds is a token classification model from KoichiYasuoka. Use it when you need labels on individual words, such as names. The card lists the license as other.
This is a LFM2 model pretrained for POS-tagging and dependency-parsing, derived from LFM2-700M and UDJapanese-GSDLUW.
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At a glance
- Task
- Token Classification
- License
- other
- Model type
- lfm2
- Access
- Public
- Created
- Jul 29, 2025
- Updated
- Jul 29, 2025
- SHA
- 6182e5d2
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Base models
Datasets
Model card
From the Hugging Face model README
lfm2-700m-japanese-ud-embeds
Model Description
This is a LFM2 model pretrained for POS-tagging and dependency-parsing, derived from LFM2-700M and UD_Japanese-GSDLUW.
How to Use
from transformers import pipeline
nlp=pipeline("universal-dependencies","KoichiYasuoka/lfm2-700m-japanese-ud-embeds",trust_remote_code=True)
print(nlp("全学年にわたって小学校の国語の教科書に挿し絵が用いられている"))
- Task
- Token Classification
- Type
- lfm2
- License
- other
- Languages
- ja
- Created
- Jul 29, 2025
- Updated
- Jul 29, 2025