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contradictor-team
/
modernbert-framer

Text Classification
Transformers
Safetensors
English
modernbert
argument-framing
interpretative-frames
media-frame-corpus
sequence-classification
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use contradictor-team/modernbert-framer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use contradictor-team/modernbert-framer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="contradictor-team/modernbert-framer")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("contradictor-team/modernbert-framer")
    model = AutoModelForSequenceClassification.from_pretrained("contradictor-team/modernbert-framer", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
modernbert-framer
640 MB
Ctrl+K
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  • 1 contributor
History: 100 commits
igor-sosnowicz's picture
igor-sosnowicz
Update README.md
dd936ce verified about 7 hours ago
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  • .gitattributes
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  • .gitignore
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  • README.md
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  • config.json
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  • evaluation_metrics.json
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  • model.safetensors
    598 MB
    xet
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  • tokenizer.json
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  • tokenizer_config.json
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  • training_config.json
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