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jacquelinehe
/
mabel-roberta-base

Transformers
PyTorch
roberta
Model card Files Files and versions
xet
Community

Instructions to use jacquelinehe/mabel-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jacquelinehe/mabel-roberta-base with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, RobertaForMabel
    
    tokenizer = AutoTokenizer.from_pretrained("jacquelinehe/mabel-roberta-base")
    model = RobertaForMabel.from_pretrained("jacquelinehe/mabel-roberta-base")
  • Notebooks
  • Google Colab
  • Kaggle
mabel-roberta-base
500 MB
Ctrl+K
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  • 1 contributor
History: 2 commits

This model has 1 file scanned as suspicious.

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e0d7663 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
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  • config.json
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  • log.txt
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  • merges.txt
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    499 MB
    xet
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  • special_tokens_map.json
    239 Bytes
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  • tokenizer_config.json
    255 Bytes
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  • train_results.txt
    71 Bytes
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  • trainer_state.json
    958 Bytes
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  • training_args.bin

    Detected Pickle imports (4)

    • "transformers.trainer_utils.EvaluationStrategy",
    • "__main__.OurTrainingArguments",
    • "transformers.trainer_utils.SchedulerType",
    • "torch.device"

    How to fix it?

    2.16 kB
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  • vocab.json
    798 kB
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