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varunchundru
/
hallucination-detector-deberta

Text Classification
Transformers
Safetensors
English
deberta-v2
hallucination-detection
deberta
nlp
fact-verification
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use varunchundru/hallucination-detector-deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use varunchundru/hallucination-detector-deberta with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="varunchundru/hallucination-detector-deberta")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("varunchundru/hallucination-detector-deberta")
    model = AutoModelForSequenceClassification.from_pretrained("varunchundru/hallucination-detector-deberta")
  • Notebooks
  • Google Colab
  • Kaggle
hallucination-detector-deberta
746 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
varunchundru's picture
varunchundru
Update README.md
bdb1aa0 verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    3.24 kB
    Update README.md about 2 months ago
  • config.json
    1.07 kB
    Upload DebertaV2ForSequenceClassification about 2 months ago
  • model.safetensors
    738 MB
    xet
    Upload DebertaV2ForSequenceClassification about 2 months ago
  • tokenizer.json
    8.34 MB
    Upload tokenizer about 2 months ago
  • tokenizer_config.json
    509 Bytes
    Upload tokenizer about 2 months ago