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uzaaft
/
bart_eli5

Transformers
ONNX
English
bart
text2text-generation
Model card Files Files and versions
xet
Community

Instructions to use uzaaft/bart_eli5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use uzaaft/bart_eli5 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("uzaaft/bart_eli5")
    model = AutoModelForSeq2SeqLM.from_pretrained("uzaaft/bart_eli5", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bart_eli5 / onnx
4.72 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
uzaaft's picture
uzaaft
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102d977 over 2 years ago
  • config.json
    1.47 kB
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  • decoder_model.onnx
    1.02 GB
    xet
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  • decoder_model_merged.onnx
    1.02 GB
    xet
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  • decoder_model_merged_quantized.onnx
    257 MB
    xet
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  • decoder_model_quantized.onnx
    257 MB
    xet
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  • decoder_with_past_model.onnx
    916 MB
    xet
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  • decoder_with_past_model_quantized.onnx
    231 MB
    xet
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  • encoder_model.onnx
    815 MB
    xet
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  • encoder_model_quantized.onnx
    205 MB
    xet
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  • merges.txt
    456 kB
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  • ort_config.json
    830 Bytes
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  • special_tokens_map.json
    280 Bytes
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  • tokenizer.json
    2.11 MB
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  • tokenizer_config.json
    349 Bytes
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  • vocab.json
    798 kB
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