configure model card metadata
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/g3ar5QfHHQBjtPaE5mwu1.mp4
README.md
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---
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license: apache-2.0
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---
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license: apache-2.0
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datasets:
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- Intel/misinformation-guard
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- ucsbnlp/liar
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language:
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- en
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- tw
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- fr
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- ar
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- ha
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- es
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metrics:
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- accuracy
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- recall
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- precision
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- f1
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base_model:
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- FacebookAI/roberta-base
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- meta-llama/Llama-3.2-3B-Instruct
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- google/gemma-4-31B-it
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- sentence-transformers/all-MiniLM-L6-v2
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new_version: deepseek-ai/DeepSeek-V4-Pro
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pipeline_tag: text-classification
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library_name: transformers
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tags:
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- fact checking
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- misinformation
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- digital literacy
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- fake news
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- media literacy
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---
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