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gogamza
/
kobart-summarization

Transformers
PyTorch
Safetensors
Korean
bart
text2text-generation
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use gogamza/kobart-summarization with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("gogamza/kobart-summarization")
    model = AutoModelForSeq2SeqLM.from_pretrained("gogamza/kobart-summarization")
  • Notebooks
  • Google Colab
  • Kaggle
kobart-summarization
993 MB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 13 commits
gogamza's picture
gogamza
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
31f181b almost 3 years ago
  • .gitattributes
    744 Bytes
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • README.md
    1.43 kB
    Update README.md over 4 years ago
  • added_tokens.json
    4 Bytes
    add special_tokens over 4 years ago
  • config.json
    1.18 kB
    initial commit about 5 years ago
  • merges.txt
    177 kB
    add special_tokens over 4 years ago
  • model.safetensors
    496 MB
    xet
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • pytorch_model.bin
    496 MB
    xet
    initial commit about 5 years ago
  • special_tokens_map.json
    111 Bytes
    add special_tokens over 4 years ago
  • summ.png
    45.6 kB
    initial commit about 5 years ago
  • tokenizer.json
    682 kB
    fix unk issues over 4 years ago
  • vocab.json
    446 kB
    add special_tokens over 4 years ago