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ctkang
/
deberta-v2-xxlarge_95

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

Instructions to use ctkang/deberta-v2-xxlarge_95 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ctkang/deberta-v2-xxlarge_95 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="ctkang/deberta-v2-xxlarge_95")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("ctkang/deberta-v2-xxlarge_95")
    model = AutoModel.from_pretrained("ctkang/deberta-v2-xxlarge_95")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-v2-xxlarge_95
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  • 1 contributor
History: 2 commits
ctkang's picture
ctkang
Upload model
ce74f6c over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    941 Bytes
    Upload model over 3 years ago
  • pytorch_model-00001-of-00002.bin
    10 GB
    xet
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  • pytorch_model-00002-of-00002.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    2.52 GB
    xet
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  • pytorch_model.bin.index.json
    107 kB
    Upload model over 3 years ago