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lorenzozan
/
ME2-BERT

Text Classification
Transformers
Safetensors
English
me2bert
feature-extraction
Moral Foundation Prediction
MFT
Morality
Morality Values
BERTForMoralPrediction
Emotions
Events
https://aclanthology.org/2025.coling-main.638.pdf
custom_code
Model card Files Files and versions
xet
Community

Instructions to use lorenzozan/ME2-BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lorenzozan/ME2-BERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="lorenzozan/ME2-BERT", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("lorenzozan/ME2-BERT", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ME2-BERT
887 MB
Ctrl+K
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  • 1 contributor
History: 48 commits
lorenzozan's picture
lorenzozan
Update README.md
1b48952 verified 11 months ago
  • .gitattributes
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  • README.md
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  • __init__.py
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  • config.json
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  • configuration_me2bert.py
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  • model.safetensors
    886 MB
    xet
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  • modeling_me2bert.py
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.txt
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