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
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- text: "Scientists have discovered a planet made entirely of diamond."
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example_title: "Science Claim"
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- text: "Scientists have discovered a planet made entirely of diamond."
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example_title: "Science Claim"
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# Digital Literacy & Fact-Checker AI 🌍
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This AI helps verify news claims in the digital space to combat misinformation globally.
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## How it Works
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This model uses the RoBERTa architecture to classify news claims into four categories: reliable, misleading, false, or unverified.
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