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raj26000
/
deberta-base-siamese-feedback-arguments

Transformers
PyTorch
deberta-v2
Model card Files Files and versions
xet
Community
1

Instructions to use raj26000/deberta-base-siamese-feedback-arguments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use raj26000/deberta-base-siamese-feedback-arguments with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("raj26000/deberta-base-siamese-feedback-arguments")
    model = AutoModel.from_pretrained("raj26000/deberta-base-siamese-feedback-arguments")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-base-siamese-feedback-arguments
1.47 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
raj26000's picture
raj26000
Upload pytorch_model.bin
8c246d6 over 3 years ago
  • .gitattributes
    1.43 kB
    initial commit over 3 years ago
  • README.md
    28 Bytes
    initial commit over 3 years ago
  • config.json
    873 Bytes
    Added config.json over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    735 MB
    xet
    Upload pytorch_model.bin over 3 years ago
  • saved_model_state_deberta_siamese_3-stack.pt
    735 MB
    xet
    Uploaded finetuned pytorch model checkpoint for Feedback Arguments Kaggle competition over 3 years ago