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fionawyu
/
fast_coref_cn

Feature Extraction
Transformers
PyTorch
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use fionawyu/fast_coref_cn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use fionawyu/fast_coref_cn with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="fionawyu/fast_coref_cn")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("fionawyu/fast_coref_cn")
    model = AutoModel.from_pretrained("fionawyu/fast_coref_cn")
  • Notebooks
  • Google Colab
  • Kaggle
fast_coref_cn
418 MB
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  • 1 contributor
History: 2 commits
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fionawyu
Upload 6 files
06ee7d2 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    21 Bytes
    initial commit almost 3 years ago
  • config.json
    1 kB
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    418 MB
    xet
    Upload 6 files almost 3 years ago
  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    439 kB
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  • tokenizer_config.json
    398 Bytes
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  • vocab.txt
    110 kB
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