Token Classification
Transformers
Safetensors
Korean
Literary Chinese
bert
ner
sillok
history
korean-history
classical-chinese
Instructions to use ddokbaro/SillokBert-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ddokbaro/SillokBert-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ddokbaro/SillokBert-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ddokbaro/SillokBert-NER") model = AutoModelForTokenClassification.from_pretrained("ddokbaro/SillokBert-NER") - Notebooks
- Google Colab
- Kaggle
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