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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 / data /preprocessed
167 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
ddokbaro's picture
ddokbaro
Upload 15 files
170de4d verified 11 months ago
  • test.txt
    8.34 MB
    Upload 15 files 11 months ago
  • train.txt
    151 MB
    xet
    Upload 15 files 11 months ago
  • validation.txt
    8.43 MB
    Upload 15 files 11 months ago