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Rakib
/
roberta-base-on-cuad

Question Answering
Transformers
PyTorch
English
roberta
legal-contract-review
cuad
Model card Files Files and versions
xet
Community
4

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

  • Libraries
  • Transformers

    How to use Rakib/roberta-base-on-cuad with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="Rakib/roberta-base-on-cuad")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("Rakib/roberta-base-on-cuad")
    model = AutoModelForQuestionAnswering.from_pretrained("Rakib/roberta-base-on-cuad")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base-on-cuad
537 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 12 commits
Rakib's picture
Rakib
Pushed the best model based on paper
c017197 over 3 years ago
  • .gitattributes
    749 Bytes
    Pushed the best model based on paper over 3 years ago
  • README.md
    5 kB
    Update README.md over 3 years ago
  • config.json
    657 Bytes
    Pushed the best model based on paper over 3 years ago
  • merges.txt
    456 kB
    add tokenizer almost 5 years ago
  • nbest_predictions.json
    38 MB
    xet
    Pushed the best model based on paper over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    496 MB
    xet
    Pushed the best model based on paper over 3 years ago
  • special_tokens_map.json
    239 Bytes
    add tokenizer almost 5 years ago
  • tokenizer.json
    1.36 MB
    add tokenizer almost 5 years ago
  • tokenizer_config.json
    288 Bytes
    Pushed the best model based on paper over 3 years ago
  • training_args.bin

    Detected Pickle imports (4)

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

    How to fix it?

    2.54 kB
    xet
    Pushed the best model based on paper over 3 years ago
  • vocab.json
    798 kB
    add tokenizer almost 5 years ago