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chandank
/
bart-base-finetuned-xsum

Transformers
PyTorch
TensorBoard
bart
text2text-generation
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use chandank/bart-base-finetuned-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use chandank/bart-base-finetuned-xsum with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("chandank/bart-base-finetuned-xsum")
    model = AutoModelForSeq2SeqLM.from_pretrained("chandank/bart-base-finetuned-xsum")
  • Notebooks
  • Google Colab
  • Kaggle
bart-base-finetuned-xsum
561 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
chandank's picture
chandank
add model
b0cecf8 over 4 years ago
  • runs
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  • .gitattributes
    737 Bytes
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  • .gitignore
    13 Bytes
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  • README.md
    1.69 kB
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  • config.json
    1.71 kB
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  • merges.txt
    456 kB
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  • pytorch_model.bin
    558 MB
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  • special_tokens_map.json
    239 Bytes
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  • tokenizer.json
    1.36 MB
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  • tokenizer_config.json
    331 Bytes
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  • training_args.bin

    Detected Pickle imports (4)

    • "transformers.training_args_seq2seq.Seq2SeqTrainingArguments",
    • "transformers.trainer_utils.SchedulerType",
    • "torch.device",
    • "transformers.trainer_utils.IntervalStrategy"

    How to fix it?

    2.74 kB
    xet
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  • vocab.json
    798 kB
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