universal-dependencies/universal_dependencies
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How to use KoichiYasuoka/bert-ancient-chinese-base-upos with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("token-classification", model="KoichiYasuoka/bert-ancient-chinese-base-upos") # Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("KoichiYasuoka/bert-ancient-chinese-base-upos")
model = AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/bert-ancient-chinese-base-upos")This is a BERT model pre-trained on Classical Chinese texts for POS-tagging and dependency-parsing, derived from bert-ancient-chinese. Every word is tagged by UPOS (Universal Part-Of-Speech) and FEATS.
from transformers import AutoTokenizer,AutoModelForTokenClassification
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/bert-ancient-chinese-base-upos")
model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/bert-ancient-chinese-base-upos")
or
import esupar
nlp=esupar.load("KoichiYasuoka/bert-ancient-chinese-base-upos")
esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models
Base model
Jihuai/bert-ancient-chinese