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KoichiYasuoka/roberta-classical-chinese-large-ud-goeswith
roberta-classical-chinese-large-ud-goeswith 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 RoBERTa model pre-trained on Classical Chinese texts for POS-tagging and dependency-parsing (using goeswith for subwords), derived from roberta-classical-chinese-large-char and UDClassicalChinese-Kyoto.
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.bin1.3 GB · 100%
From the Hugging Face model README
This is a RoBERTa model pre-trained on Classical Chinese texts for POS-tagging and dependency-parsing (using goeswith for subwords), derived from roberta-classical-chinese-large-char and UD_Classical_Chinese-Kyoto.
from transformers import pipeline
nlp=pipeline("universal-dependencies","KoichiYasuoka/roberta-classical-chinese-large-ud-goeswith",trust_remote_code=True,aggregation_strategy="simple")
print(nlp("孟子見梁惠王"))