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UNCANNY69
/
Miss-BERT-CNN

Text Classification
Transformers
PyTorch
BertCNNForSequenceClassification
custom_code
Model card Files Files and versions
xet
Community
2

Instructions to use UNCANNY69/Miss-BERT-CNN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use UNCANNY69/Miss-BERT-CNN with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="UNCANNY69/Miss-BERT-CNN", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForSequenceClassification
    model = AutoModelForSequenceClassification.from_pretrained("UNCANNY69/Miss-BERT-CNN", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Miss-BERT-CNN
442 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
UNCANNY69's picture
UNCANNY69
Update config.json
96c2740 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    28 Bytes
    initial commit over 2 years ago
  • config.json
    590 Bytes
    Update config.json over 2 years ago
  • model.py
    3.64 kB
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  • pytorch_model.bin
    441 MB
    xet
    Add model to files over 2 years ago
  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    314 Bytes
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  • vocab.txt
    232 kB
    Add model to files over 2 years ago