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c2p-cmd
/
Bart-Large-CNN-int8

Feature Extraction
Transformers
Safetensors
bart
text2text-generation
Model card Files Files and versions
xet
Community

Instructions to use c2p-cmd/Bart-Large-CNN-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use c2p-cmd/Bart-Large-CNN-int8 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="c2p-cmd/Bart-Large-CNN-int8")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("c2p-cmd/Bart-Large-CNN-int8")
    model = AutoModelForSeq2SeqLM.from_pretrained("c2p-cmd/Bart-Large-CNN-int8")
  • Notebooks
  • Google Colab
  • Kaggle
Bart-Large-CNN-int8
818 MB
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  • 1 contributor
History: 3 commits
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c2p-cmd
Create README.md
2d2f5b6 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    201 Bytes
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  • config.json
    1.64 kB
    uploads int8 quantized over 1 year ago
  • generation_config.json
    358 Bytes
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  • merges.txt
    456 kB
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  • model.safetensors
    813 MB
    xet
    uploads int8 quantized over 1 year ago
  • special_tokens_map.json
    279 Bytes
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  • tokenizer.json
    3.56 MB
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  • tokenizer_config.json
    1.24 kB
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  • vocab.json
    798 kB
    uploads int8 quantized over 1 year ago