Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

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
1.51 GB
Ctrl+K
Ctrl+K
  • 10 contributors
History: 27 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
31b1a78 almost 3 years ago
  • .gitattributes
    1.58 kB
    Add leaderboard file almost 3 years ago
  • README.md
    7.9 kB
    Update README.md almost 3 years ago
  • added_tokens.json
    23 Bytes
    Initial commit almost 3 years ago
  • config.json
    1.02 kB
    Initial commit almost 3 years ago
  • leaderboard_summaries.csv
    19.4 MB
    xet
    Add leaderboard file almost 3 years ago
  • model.safetensors
    738 MB
    xet
    Adding `safetensors` variant of this model almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    738 MB
    xet
    Initial commit almost 3 years ago
  • special_tokens_map.json
    173 Bytes
    Initial commit almost 3 years ago
  • spm.model
    2.46 MB
    xet
    Initial commit almost 3 years ago
  • tokenizer.json
    8.65 MB
    Initial commit almost 3 years ago
  • tokenizer_config.json
    575 Bytes
    Initial commit almost 3 years ago