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ckiplab
/
bert-base-han-chinese-ws-xiandai

Token Classification
Transformers
PyTorch
Chinese
bert
Model card Files Files and versions
xet
Community
1

Instructions to use ckiplab/bert-base-han-chinese-ws-xiandai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ckiplab/bert-base-han-chinese-ws-xiandai with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="ckiplab/bert-base-han-chinese-ws-xiandai")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ckiplab/bert-base-han-chinese-ws-xiandai")
    model = AutoModelForTokenClassification.from_pretrained("ckiplab/bert-base-han-chinese-ws-xiandai", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-han-chinese-ws-xiandai
424 MB
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  • 1 contributor
History: 2 commits
ctlin's picture
ctlin
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6ed8c43 over 3 years ago
  • .gitattributes
    1.48 kB
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  • README.md
    418 Bytes
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  • config.json
    997 Bytes
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  • pytorch_model.bin
    422 MB
    xet
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  • special_tokens_map.json
    112 Bytes
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  • tokenizer.json
    2.01 MB
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  • tokenizer_config.json
    535 Bytes
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  • vocab.txt
    110 kB
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