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junnyu
/
structbert-large-zh

Feature Extraction
Transformers
PyTorch
Chinese
bert
structbert
tf2.0
Model card Files Files and versions
xet
Community
1

Instructions to use junnyu/structbert-large-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use junnyu/structbert-large-zh with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="junnyu/structbert-large-zh")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("junnyu/structbert-large-zh")
    model = AutoModel.from_pretrained("junnyu/structbert-large-zh")
  • Notebooks
  • Google Colab
  • Kaggle
structbert-large-zh
1.3 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
junnyu's picture
junnyu
add readme
b401f24 almost 4 years ago
  • .gitattributes
    1.17 kB
    initial commit almost 4 years ago
  • README.md
    4 kB
    add readme almost 4 years ago
  • config.json
    587 Bytes
    add almost 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.3 GB
    xet
    add almost 4 years ago
  • tokenizer_config.json
    435 Bytes
    add almost 4 years ago
  • vocab.txt
    110 kB
    add almost 4 years ago