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baicuya
/
bert_cn

Fill-Mask
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

Instructions to use baicuya/bert_cn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use baicuya/bert_cn with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="baicuya/bert_cn")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("baicuya/bert_cn")
    model = AutoModelForMaskedLM.from_pretrained("baicuya/bert_cn")
  • Notebooks
  • Google Colab
  • Kaggle
bert_cn
409 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
3v324v23's picture
3v324v23
Update from root
30721f0 almost 5 years ago
  • .gitattributes
    690 Bytes
    initial commit almost 5 years ago
  • README.md
    6 Bytes
    Update from root almost 5 years ago
  • config.json
    969 Bytes
    Update from root almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    409 MB
    xet
    Update from root almost 5 years ago
  • tokenizer_config.json
    59 Bytes
    Update from root almost 5 years ago
  • vocab.txt
    110 kB
    Update from root almost 5 years ago