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Agreemind
/
deberta-unfair-tos-augmented

Text Classification
Transformers
TensorBoard
Safetensors
English
deberta
legal
multi-label-classification
terms-of-service
unfair-clauses
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Agreemind/deberta-unfair-tos-augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Agreemind/deberta-unfair-tos-augmented with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Agreemind/deberta-unfair-tos-augmented")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Agreemind/deberta-unfair-tos-augmented")
    model = AutoModelForSequenceClassification.from_pretrained("Agreemind/deberta-unfair-tos-augmented", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-unfair-tos-augmented
5.59 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
canpolatbulbul's picture
canpolatbulbul
Add deprecation notice โ€” see lexglue-* models for updated results
1b9a056 verified 6 months ago
  • checkpoint-1152
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  • checkpoint-1248
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  • checkpoint-960
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  • runs
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  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    3.8 kB
    Add deprecation notice โ€” see lexglue-* models for updated results 6 months ago
  • config.json
    1.34 kB
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  • merges.txt
    456 kB
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  • model.safetensors
    557 MB
    xet
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  • special_tokens_map.json
    969 Bytes
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  • tokenizer.json
    3.56 MB
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  • tokenizer_config.json
    1.34 kB
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  • training_args.bin
    5.84 kB
    xet
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  • vocab.json
    798 kB
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