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yechen
/
bert-large-chinese

Fill-Mask
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
Chinese
bert
Model card Files Files and versions
xet
Community
1

Instructions to use yechen/bert-large-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use yechen/bert-large-chinese with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="yechen/bert-large-chinese")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("yechen/bert-large-chinese")
    model = AutoModelForMaskedLM.from_pretrained("yechen/bert-large-chinese")
  • Notebooks
  • Google Colab
  • Kaggle
bert-large-chinese
4 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 16 commits
patrickvonplaten's picture
patrickvonplaten
upload flax model
0b30aa4 almost 5 years ago
  • .gitattributes
    736 Bytes
    allow flax almost 5 years ago
  • README.md
    21 Bytes
    readme about 5 years ago
  • config.json
    816 Bytes
    tf about 5 years ago
  • flax_model.msgpack
    1.3 GB
    xet
    upload flax model almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.31 GB
    xet
    20M-5M about 5 years ago
  • tf_model.h5
    1.39 GB
    xet
    tf about 5 years ago
  • vocab.txt
    110 kB
    small commit about 5 years ago