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ddokbaro
/
SillokBert-NER

Token Classification
Transformers
Safetensors
Korean
Literary Chinese
bert
ner
sillok
history
korean-history
classical-chinese
Model card Files Files and versions
xet
Community

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
SillokBert-NER
2.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
ddokbaro's picture
ddokbaro
Update README.md
6b1b724 verified 6 months ago
  • SillokBert_trial11
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  • preprocessed_data
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  • raw_data
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  • .gitattributes
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  • README.md
    15.4 kB
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  • config.json
    1.24 kB
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  • model.safetensors
    709 MB
    xet
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer_config.json
    1.19 kB
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  • vocab.txt
    996 kB
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