This is a ModernBERT model pretrained on Classical Chinese texts for POS-tagging and dependency-parsing (using goeswith for subwords), derived from modernbert-large-classical-chinese and UD_Classical_Chinese-Kyoto.

How to Use

from transformers import pipeline
nlp=pipeline("universal-dependencies","KoichiYasuoka/modernbert-large-classical-chinese-ud-square",trust_remote_code=True,aggregation_strategy="simple")
print(nlp("孟子見梁惠王"))