deberta-base-korean-upos
Model Description
This is a DeBERTa(V3) model pre-trained on Korean texts for POS-tagging and dependency-parsing, derived from deberta-v3-base-korean. Every word (어절) is tagged by UPOS(Universal Part-Of-Speech).
How to Use
from transformers import AutoTokenizer,AutoModelForTokenClassification,TokenClassificationPipeline
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/deberta-base-korean-upos")
model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/deberta-base-korean-upos")
pipeline=TokenClassificationPipeline(tokenizer=tokenizer,model=model,aggregation_strategy="simple")
nlp=lambda x:[(x[t["start"]:t["end"]],t["entity_group"]) for t in pipeline(x)]
print(nlp("홍시 맛이 나서 홍시라 생각한다."))
or
import esupar
nlp=esupar.load("KoichiYasuoka/deberta-base-korean-upos")
print(nlp("홍시 맛이 나서 홍시라 생각한다."))
See Also
esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models
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Model tree for KoichiYasuoka/deberta-base-korean-upos
Base model
team-lucid/deberta-v3-base-korean