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ddokbaro
/
SillokBert-Scratch

Fill-Mask
Transformers
Safetensors
Korean
Literary Chinese
bert
text-generation
sillok
history
korean-history
classical-chinese
Model card Files Files and versions
xet
Community

Instructions to use ddokbaro/SillokBert-Scratch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ddokbaro/SillokBert-Scratch with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="ddokbaro/SillokBert-Scratch")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("ddokbaro/SillokBert-Scratch")
    model = AutoModelForMaskedLM.from_pretrained("ddokbaro/SillokBert-Scratch")
  • Notebooks
  • Google Colab
  • Kaggle
SillokBert-Scratch
2.24 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
ddokbaro's picture
ddokbaro
Update README.md
b05b53f verified 11 months ago
  • data
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  • scripts
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  • .gitattributes
    1.63 kB
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  • README.md
    14.3 kB
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  • config.json
    590 Bytes
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  • model.safetensors
    1.88 GB
    xet
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  • special_tokens_map.json
    53 Bytes
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  • tokenizer.json
    47.9 MB
    xet
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  • tokenizer_config.json
    1.1 kB
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