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haval995
/
roberta-large-causal-hallucination-detector

Text Classification
Transformers
Safetensors
English
roberta
causal-detection
hallucination-detection
nlp
rag
causal-inference
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use haval995/roberta-large-causal-hallucination-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use haval995/roberta-large-causal-hallucination-detector with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="haval995/roberta-large-causal-hallucination-detector")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("haval995/roberta-large-causal-hallucination-detector")
    model = AutoModelForSequenceClassification.from_pretrained("haval995/roberta-large-causal-hallucination-detector")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-large-causal-hallucination-detector
1.43 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
haval995's picture
haval995
Upload tokenizer
9f3e179 verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    5.53 kB
    Update README.md 2 months ago
  • config.json
    740 Bytes
    Upload RobertaForSequenceClassification 2 months ago
  • model.safetensors
    1.42 GB
    xet
    Upload RobertaForSequenceClassification 2 months ago
  • tokenizer.json
    3.56 MB
    Upload tokenizer about 1 month ago
  • tokenizer_config.json
    359 Bytes
    Upload tokenizer 2 months ago