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ddokbaro
/
SillokBert

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 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ddokbaro/SillokBert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="ddokbaro/SillokBert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("ddokbaro/SillokBert")
    model = AutoModelForMaskedLM.from_pretrained("ddokbaro/SillokBert")
  • Notebooks
  • Google Colab
  • Kaggle
SillokBert / scripts
14 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
ddokbaro's picture
ddokbaro
Upload 2 files
b6e3c85 verified 11 months ago
  • hpo_result_analyzer_universal.py
    5.59 kB
    Upload 2 files 11 months ago
  • prepare_data.py
    8.38 kB
    Upload prepare_data.py 11 months ago