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nealcly
/
detection-longformer

Transformers
PyTorch
Model card Files Files and versions
xet
Community
5

Instructions to use nealcly/detection-longformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nealcly/detection-longformer with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("nealcly/detection-longformer", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
detection-longformer
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  • 2 contributors
History: 5 commits
yaful's picture
yaful
Update README.md
281d307 almost 3 years ago
  • .gitattributes
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    initial commit almost 3 years ago
  • README.md
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  • config.json
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  • merges.txt
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  • optimizer.pt
    1.19 GB
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  • pytorch_model.bin
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  • rng_state.pth
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  • scaler.pt
    559 Bytes
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  • scheduler.pt
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • trainer_state.json
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  • training_args.bin

    Detected Pickle imports (6)

    • "transformers.trainer_utils.IntervalStrategy",
    • "transformers.training_args.OptimizerNames",
    • "transformers.trainer_utils.SchedulerType",
    • "torch.device",
    • "transformers.training_args.TrainingArguments",
    • "transformers.trainer_utils.HubStrategy"

    How to fix it?

    3.63 kB
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  • vocab.json
    798 kB
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