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HaitaoYang
/
bert_cn_bi-classification

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

Instructions to use HaitaoYang/bert_cn_bi-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use HaitaoYang/bert_cn_bi-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="HaitaoYang/bert_cn_bi-classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("HaitaoYang/bert_cn_bi-classification")
    model = AutoModelForMaskedLM.from_pretrained("HaitaoYang/bert_cn_bi-classification")
  • Notebooks
  • Google Colab
  • Kaggle
bert_cn_bi-classification
3.27 GB
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  • 1 contributor
History: 2 commits
YYF's picture
YYF
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e04bcc3 over 4 years ago
  • checkpoint-100
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  • checkpoint-200
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  • checkpoint-250
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  • .gitattributes
    1.18 kB
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  • added_tokens.json
    2 Bytes
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  • config.json
    969 Bytes
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  • eval_results.txt
    11 Bytes
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  • pytorch_model.bin
    409 MB
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  • special_tokens_map.json
    112 Bytes
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  • tokenizer_config.json
    59 Bytes
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  • training_args.bin

    Detected Pickle imports (2)

    • "argparse.Namespace",
    • "torch.device"

    How to fix it?

    1.24 kB
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  • vocab.txt
    110 kB
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