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mtc
/
extractive-bert-base

Transformers
PyTorch
extractive_bert
Model card Files Files and versions
xet
Community

Instructions to use mtc/extractive-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mtc/extractive-bert-base with Transformers:

    # Load model directly
    from transformers import BertSumExt
    model = BertSumExt.from_pretrained("mtc/extractive-bert-base", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
extractive-bert-base
500 MB
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  • 1 contributor
History: 8 commits
mtc's picture
mtc
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afa6e10 almost 3 years ago
  • .gitattributes
    1.34 kB
    initial commit almost 4 years ago
  • README.md
    27 Bytes
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  • config.json
    738 Bytes
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  • pytorch_model.bin
    499 MB
    xet
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer_config.json
    404 Bytes
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  • vocab.txt
    247 kB
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