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LiqiangXiao
/
summarization

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

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

  • Libraries
  • Transformers

    How to use LiqiangXiao/summarization with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("LiqiangXiao/summarization")
    model = AutoModelForSeq2SeqLM.from_pretrained("LiqiangXiao/summarization")
  • Notebooks
  • Google Colab
  • Kaggle
summarization
559 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
LiqiangXiao's picture
LiqiangXiao
create model card
895bc85 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    3.69 kB
    create model card over 4 years ago
  • config.json
    1.7 kB
    add model over 4 years ago
  • merges.txt
    456 kB
    add tokenizer over 4 years ago
  • pytorch_model.bin
    558 MB
    xet
    add model over 4 years ago
  • special_tokens_map.json
    772 Bytes
    add tokenizer over 4 years ago
  • tokenizer_config.json
    1.32 kB
    add tokenizer over 4 years ago
  • vocab.json
    899 kB
    add tokenizer over 4 years ago