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rishhh
/
verisci-claim-verifier

Text Classification
Transformers
Safetensors
English
deberta-v2
scientific-claim-verification
scifact
evidence-aware-verification
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use rishhh/verisci-claim-verifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rishhh/verisci-claim-verifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="rishhh/verisci-claim-verifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("rishhh/verisci-claim-verifier")
    model = AutoModelForSequenceClassification.from_pretrained("rishhh/verisci-claim-verifier")
  • Notebooks
  • Google Colab
  • Kaggle

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Gated model
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Preview of files found in this repository
  • eval_report.md
    857 Bytes
    Add trained verifier evaluation report about 1 month ago
  • eval_results.json
    1.94 kB
    Add trained verifier evaluation JSON about 1 month ago
  • eval_summary.json
    4.99 kB
    Train balanced DeBERTa SciFact verifier with hard NEI examples about 1 month ago
  • test_predictions.jsonl
    364 kB
    Train balanced DeBERTa SciFact verifier with hard NEI examples about 1 month ago
  • trained_verifier_test_results.json
    1.19 kB
    Add trained verifier test metrics about 1 month ago
  • validation_predictions.jsonl
    361 kB
    Train balanced DeBERTa SciFact verifier with hard NEI examples about 1 month ago