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Danielwei0214
/
guwenbert-base-ched-event_detection

Token Classification
Transformers
PyTorch
Chinese
roberta
classical chinese
ancient chinese
event detection
Model card Files Files and versions
xet
Community
2

Instructions to use Danielwei0214/guwenbert-base-ched-event_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Danielwei0214/guwenbert-base-ched-event_detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Danielwei0214/guwenbert-base-ched-event_detection")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Danielwei0214/guwenbert-base-ched-event_detection")
    model = AutoModelForTokenClassification.from_pretrained("Danielwei0214/guwenbert-base-ched-event_detection")
  • Notebooks
  • Google Colab
  • Kaggle
guwenbert-base-ched-event_detection
414 MB
Ctrl+K
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  • 1 contributor
History: 14 commits
Danielwei0214's picture
Danielwei0214
Update README.md
2f46b61 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    452 Bytes
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  • config.json
    10 kB
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    414 MB
    xet
    Upload pytorch_model.bin almost 3 years ago
  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    458 kB
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  • tokenizer_config.json
    394 Bytes
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  • vocab.txt
    93.5 kB
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