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ARISCOT
/
Digital_Literacy_Fact_Checker

Text Classification
Transformers
fact-checking
social-media
politics
health
science
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use ARISCOT/Digital_Literacy_Fact_Checker with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ARISCOT/Digital_Literacy_Fact_Checker")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ARISCOT/Digital_Literacy_Fact_Checker", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Digital_Literacy_Fact_Checker
3.56 MB
Ctrl+K
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  • 1 contributor
History: 13 commits
ARISCOT's picture
ARISCOT
update README.md
094acd7 verified about 9 hours ago
  • .gitattributes
    1.52 kB
    initial commit 2 days ago
  • NOTICE
    1.09 kB
    Add official NOTICE file 1 day ago
  • README.md
    1.85 kB
    update README.md about 9 hours ago
  • tokenizer.json
    3.56 MB
    Upload tokenizer 1 day ago
  • tokenizer_config.json
    359 Bytes
    Upload tokenizer 1 day ago