# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("ckiplab/bert-base-han-chinese-pos-jindai")
model = AutoModelForTokenClassification.from_pretrained("ckiplab/bert-base-han-chinese-pos-jindai", device_map="auto")Quick Links
CKIP BERT Base Han Chinese POS
This model provides part-of-speech (POS) tagging for the ancient Chinese language. Our training dataset covers four eras of the Chinese language.
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Training Datasets
The copyright of the datasets belongs to the Institute of Linguistics, Academia Sinica.
Contributors
- Chin-Tung Lin at CKIP
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ckiplab/bert-base-han-chinese-pos-jindai")