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NagaYu
/
claimcheck-rules

Text Classification
Transformers
English
Japanese
hallucination-detection
groundedness
rag
guardrails
rule-based
not-a-neural-model
Model card Files Files and versions
xet
Community

Instructions to use NagaYu/claimcheck-rules with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NagaYu/claimcheck-rules with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="NagaYu/claimcheck-rules")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("NagaYu/claimcheck-rules", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
claimcheck-rules / python
190 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
NagaYu's picture
NagaYu
Add the Python reference implementation (Gradio UI + REST API) for self-hosting
0675e3e verified 7 days ago
  • README.md
    1.76 kB
    Add the Python reference implementation (Gradio UI + REST API) for self-hosting 7 days ago
  • app.py
    172 kB
    Add the Python reference implementation (Gradio UI + REST API) for self-hosting 7 days ago
  • deploy.md
    15.6 kB
    Add the Python reference implementation (Gradio UI + REST API) for self-hosting 7 days ago
  • requirements.txt
    576 Bytes
    Add the Python reference implementation (Gradio UI + REST API) for self-hosting 7 days ago