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yseop
/
distilbert-base-financial-relation-extraction

Text Classification
Transformers
PyTorch
feature-extraction
Model card Files Files and versions
xet
Community
2

Instructions to use yseop/distilbert-base-financial-relation-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use yseop/distilbert-base-financial-relation-extraction with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="yseop/distilbert-base-financial-relation-extraction")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("yseop/distilbert-base-financial-relation-extraction", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
distilbert-base-financial-relation-extraction
269 MB
Ctrl+K
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  • 1 contributor
History: 7 commits
Hanna Abi Akl
Update README.md
e8ad8cf over 4 years ago
  • .gitattributes
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  • README.md
    2.66 kB
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  • config.json
    774 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    268 MB
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  • special_tokens_map.json
    112 Bytes
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  • tokenizer.json
    466 kB
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  • tokenizer_config.json
    291 Bytes
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  • training_args.bin

    Detected Pickle imports (4)

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

    How to fix it?

    2.42 kB
    xet
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  • vocab.txt
    232 kB
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