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KETI-AIR-Downstream
/
long-ke-t5-base-summarization

Transformers
PyTorch
Safetensors
Korean
longt5
text2text-generation
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Community
3

Instructions to use KETI-AIR-Downstream/long-ke-t5-base-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use KETI-AIR-Downstream/long-ke-t5-base-summarization with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("KETI-AIR-Downstream/long-ke-t5-base-summarization")
    model = AutoModelForSeq2SeqLM.from_pretrained("KETI-AIR-Downstream/long-ke-t5-base-summarization", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
long-ke-t5-base-summarization
1.48 kB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 1 commit
kimsan0622's picture
kimsan0622
initial commit
a865948 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago