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nikotang
/
span-nli-bert-base

Text Classification
Transformers
PyTorch
TensorBoard
English
bert
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use nikotang/span-nli-bert-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="nikotang/span-nli-bert-base")
    # Load model directly
    from transformers import AutoTokenizer, BertForIdentificationClassification
    
    tokenizer = AutoTokenizer.from_pretrained("nikotang/span-nli-bert-base")
    model = BertForIdentificationClassification.from_pretrained("nikotang/span-nli-bert-base")
  • Notebooks
  • Google Colab
  • Kaggle
span-nli-bert-base
452 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
nikotang's picture
nikotang
Create README.md
3f85716 about 3 years ago
  • tensorboard
    Initial upload about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    1.23 kB
    Create README.md about 3 years ago
  • added_tokens.json
    17 Bytes
    Initial upload about 3 years ago
  • conf.yml
    2.36 kB
    Initial upload about 3 years ago
  • config.json
    695 Bytes
    Initial upload about 3 years ago
  • metrics.json
    98.8 kB
    Initial upload about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    438 MB
    xet
    Initial upload about 3 years ago
  • result.json
    4.6 MB
    Initial upload about 3 years ago
  • special_tokens_map.json
    153 Bytes
    Initial upload about 3 years ago
  • tokenizer_config.json
    529 Bytes
    Initial upload about 3 years ago
  • vocab.txt
    232 kB
    Initial upload about 3 years ago