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vectara
/
hallucination_evaluation_model

Text Classification
Transformers
Safetensors
English
HHEMv2Config
hallucination-detection
factual-consistency
rag
custom_code
Model card Files Files and versions
xet
Community
24

Instructions to use vectara/hallucination_evaluation_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vectara/hallucination_evaluation_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="vectara/hallucination_evaluation_model", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModelForSequenceClassification
    model = AutoModelForSequenceClassification.from_pretrained("vectara/hallucination_evaluation_model", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
hallucination_evaluation_model
439 MB
Ctrl+K
Ctrl+K
  • 10 contributors
History: 66 commits
kartik-vectara's picture
kartik-vectara
Claude Opus 5.5
Support transformers 5 and refresh model card
de9a5e6 5 days ago
  • .gitattributes
    1.58 kB
    Add leaderboard file almost 3 years ago
  • README.md
    15.8 kB
    Support transformers 5 and refresh model card 5 days ago
  • candle.png
    487 kB
    updated candle.png about 2 years ago
  • config.json
    389 Bytes
    update for pipeline about 2 years ago
  • configuration_hhem_v2.py
    760 Bytes
    updated files for hhem-2.1-open about 2 years ago
  • model.safetensors
    439 MB
    xet
    updated files for hhem-2.1-open about 2 years ago
  • modeling_hhem_v2.py
    2.77 kB
    Support transformers 5 and refresh model card 5 days ago