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IDEA-CCNL
/
Erlangshen-DeBERTa-v2-97M-CWS-Chinese

Transformers
PyTorch
Chinese
deberta-v2
DeBERTa
CWS
Chinese Word Segmentation
Chinese
Model card Files Files and versions
xet
Community
3

Instructions to use IDEA-CCNL/Erlangshen-DeBERTa-v2-97M-CWS-Chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use IDEA-CCNL/Erlangshen-DeBERTa-v2-97M-CWS-Chinese with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, BertSoftmaxForNer
    
    tokenizer = AutoTokenizer.from_pretrained("IDEA-CCNL/Erlangshen-DeBERTa-v2-97M-CWS-Chinese")
    model = BertSoftmaxForNer.from_pretrained("IDEA-CCNL/Erlangshen-DeBERTa-v2-97M-CWS-Chinese")
  • Notebooks
  • Google Colab
  • Kaggle
Erlangshen-DeBERTa-v2-97M-CWS-Chinese
388 MB
Ctrl+K
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  • 3 contributors
History: 12 commits
Zimix's picture
Zimix
Update README.md
59d1678 almost 3 years ago
  • .gitattributes
    1.34 kB
    initial commit almost 4 years ago
  • README.md
    3.3 kB
    Update README.md almost 3 years ago
  • config.json
    1.3 kB
    Upload config.json almost 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    388 MB
    xet
    Upload pytorch_model.bin almost 4 years ago
  • vocab.txt
    53.1 kB
    Upload vocab.txt almost 4 years ago