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binwang
/
RSE-BERT-base-Transfer

Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community

Instructions to use binwang/RSE-BERT-base-Transfer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use binwang/RSE-BERT-base-Transfer with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, BertForRSE
    
    tokenizer = AutoTokenizer.from_pretrained("binwang/RSE-BERT-base-Transfer")
    model = BertForRSE.from_pretrained("binwang/RSE-BERT-base-Transfer")
  • Notebooks
  • Google Colab
  • Kaggle
RSE-BERT-base-Transfer
439 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
binwang's picture
binwang
Upload 6 files
92e758d about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    222 Bytes
    Create README.md about 3 years ago
  • config.json
    659 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    438 MB
    xet
    Upload 6 files about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload 6 files about 3 years ago
  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    348 Bytes
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  • vocab.txt
    232 kB
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