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KISTI-AI
/
Scideberta-full

Token Classification
Transformers
PyTorch
English
deberta-v2
Model card Files Files and versions
xet
Community
2

Instructions to use KISTI-AI/Scideberta-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use KISTI-AI/Scideberta-full with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="KISTI-AI/Scideberta-full")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("KISTI-AI/Scideberta-full", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Scideberta-full
372 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Eunhui's picture
Eunhui
Update README.md
565905c verified about 2 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    784 Bytes
    Update README.md about 2 years ago
  • config.json
    630 Bytes
    Upload 3 files about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    370 MB
    xet
    Upload 3 files about 3 years ago
  • spm.model
    2.46 MB
    xet
    Upload 3 files about 3 years ago