Update README.md
Browse filesInitialized model card with core metadata for digital literacy and fact-checking. Configured the text-classification pipeline and added relevant tags (misinformation, media literacy) to improve discoverability. Defined transformers as the primary library and linked the base model architecture.
https://cdn-uploads.huggingface.co/production/uploads/69ce92e3974332e3e056410c/jPLotq5jqh06eJdXVk5K1.mp4
README.md
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language:
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tags:
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- fact-checking
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- social-media
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- politics
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- health
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- science
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---
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# Digital Literacy Fact Checker
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This model is designed to classify misinformation across social media,
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politics, health, science, religion, and agriculture.
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---
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language:
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- en
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- fr
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- tw
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- ha
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- es
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license: apache-2.0
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tags:
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- fact-checking
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- social-media
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- politics
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- health
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- science
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datasets:
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- mteb/FEVER_test_top_250_only_w_correct-v2
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- ucsbnlp/liar
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- NunoBatista/PHEME-Misinformation-Graphs
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- dwadden/healthver_entailment
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- rabuahmad/climatecheck
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- talab-ai/pi5-agricultural-iot-32day
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- RASSAISAID/finqa-deepseek-prompts
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metrics:
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- accuracy
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- recall
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- f1
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- precision
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base_model:
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- FacebookAI/roberta-base
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- meta-llama/Llama-3.2-1B-Instruct
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new_version: deepseek-ai/DeepSeek-V4-Pro-Base
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pipeline_tag: text-classification
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library_name: transformers
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---
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# Digital Literacy Fact Checker
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This model is designed to classify misinformation across social media,
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politics, health, science, religion, and agriculture.
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