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IDEA-CCNL
/
Erlangshen-Ubert-110M-Chinese

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

Instructions to use IDEA-CCNL/Erlangshen-Ubert-110M-Chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use IDEA-CCNL/Erlangshen-Ubert-110M-Chinese with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="IDEA-CCNL/Erlangshen-Ubert-110M-Chinese")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("IDEA-CCNL/Erlangshen-Ubert-110M-Chinese")
    model = AutoModelForMaskedLM.from_pretrained("IDEA-CCNL/Erlangshen-Ubert-110M-Chinese")
  • Notebooks
  • Google Colab
  • Kaggle
Erlangshen-Ubert-110M-Chinese
411 MB
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  • 3 contributors
History: 21 commits
Zimix's picture
Zimix
Update README.md
d190d32 about 3 years ago
  • .gitattributes
    1.17 kB
    initial commit almost 4 years ago
  • README.md
    5.46 kB
    Update README.md about 3 years ago
  • config.json
    713 Bytes
    Upload config.json almost 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    411 MB
    xet
    Upload pytorch_model.bin almost 4 years ago
  • vocab.txt
    110 kB
    Upload vocab.txt almost 4 years ago