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byeongal
/
kobart

Feature Extraction
Transformers
PyTorch
Korean
bart
Model card Files Files and versions
xet
Community
1

Instructions to use byeongal/kobart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use byeongal/kobart with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="byeongal/kobart")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("byeongal/kobart")
    model = AutoModel.from_pretrained("byeongal/kobart")
  • Notebooks
  • Google Colab
  • Kaggle
kobart
497 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
byeongal's picture
byeongal
Update README.md
7f0f2c8 almost 5 years ago
  • .gitattributes
    690 Bytes
    initial commit almost 5 years ago
  • README.md
    224 Bytes
    Update README.md almost 5 years ago
  • config.json
    1.26 kB
    kobart for teachable-nlp almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    496 MB
    xet
    kobart for teachable-nlp almost 5 years ago
  • special_tokens_map.json
    239 Bytes
    kobart for teachable-nlp almost 5 years ago
  • tokenizer.json
    1.05 MB
    update post_processor almost 5 years ago
  • tokenizer_config.json
    299 Bytes
    kobart for teachable-nlp almost 5 years ago