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Nicovis
/
ConvSum

Transformers
Safetensors
pegasus
text2text-generation
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Nicovis/ConvSum with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Nicovis/ConvSum")
    model = AutoModelForSeq2SeqLM.from_pretrained("Nicovis/ConvSum", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ConvSum
2.29 GB
Ctrl+K
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  • 1 contributor
History: 14 commits
Nicovis's picture
Nicovis
Update README.md
5d6ea1a verified almost 3 years ago
  • .gitattributes
    103 Bytes
    Upload tokenizer almost 3 years ago
  • README.md
    4.54 kB
    Update README.md almost 3 years ago
  • config.json
    1.3 kB
    Upload PegasusForConditionalGeneration almost 3 years ago
  • generation_config.json
    245 Bytes
    Upload PegasusForConditionalGeneration almost 3 years ago
  • model.safetensors
    2.28 GB
    xet
    Upload PegasusForConditionalGeneration almost 3 years ago
  • special_tokens_map.json
    2.22 kB
    Upload tokenizer almost 3 years ago
  • spiece.model
    1.91 MB
    xet
    Upload tokenizer almost 3 years ago
  • tokenizer.json
    6.6 MB
    Upload tokenizer almost 3 years ago
  • tokenizer_config.json
    20.2 kB
    Upload tokenizer almost 3 years ago