Instructions to use ckiplab/bert-base-han-chinese-pos-xiandai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ckiplab/bert-base-han-chinese-pos-xiandai with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ckiplab/bert-base-han-chinese-pos-xiandai")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ckiplab/bert-base-han-chinese-pos-xiandai") model = AutoModelForTokenClassification.from_pretrained("ckiplab/bert-base-han-chinese-pos-xiandai", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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.
Homepage
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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