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Seonguk
/
textSummarization

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

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

  • Libraries
  • Transformers

    How to use Seonguk/textSummarization with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Seonguk/textSummarization")
    model = AutoModelForSeq2SeqLM.from_pretrained("Seonguk/textSummarization")
  • Notebooks
  • Google Colab
  • Kaggle
textSummarization
497 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 48 commits
Seonguk's picture
Seonguk
Upload pytorch_model.bin with git-lfs
44444b5 over 4 years ago
  • .gitattributes
    1.23 kB
    Upload model_epoch36.pkl with git-lfs over 4 years ago
  • added_tokens.json
    4 Bytes
    Upload added_tokens.json over 4 years ago
  • config.json
    1.13 kB
    Upload config.json over 4 years ago
  • merges.txt
    177 kB
    Upload merges.txt over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    496 MB
    xet
    Upload pytorch_model.bin with git-lfs over 4 years ago
  • special_tokens_map.json
    111 Bytes
    Upload special_tokens_map.json over 4 years ago
  • tokenizer.json
    682 kB
    Upload tokenizer.json over 4 years ago
  • vocab.json
    446 kB
    Upload vocab.json over 4 years ago