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multilingual-bias-detector
himel7/multilingual-bias-detector
multilingual-bias-detector is a text classification model from himel7. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
A model that detects biases in news texts in several languages.
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- xlm-roberta
- Access
- Public
- Created
- Feb 18, 2026
- Updated
- Feb 22, 2026
- SHA
- 5bafe5fd
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Model card
From the Hugging Face model README
Model Card for multilingual bias detector
A model that detects biases in news texts in several languages.
This model is distilled from himel7/bias-detector model on a xlm-roberta (multilingual) model base using Transfer Learning.
Model Details
On BABE Test Set in English: Accuracy- 0.826 Macro F1- 0.8317
On BABE Test Set in Hindi: Accuracy- 0.781 Macro F1- 0.7912
On BABE Test Set in Bengali: Accuracy- 0.76 Macro F1- 0.7757
You can add further metrics in other languages here...
Model Description
<!-- Provide a longer summary of what this model is. -->This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by: Himel Ghosh
- Language(s) (NLP): English, Italian, German, etc.
- Finetuned from model xlm-roberta: Distilled from himel7/bias-detector
Model Sources [optional]
<!-- Provide the basic links for the model. -->- Repository: [More Information Needed]
- Paper [optional]: [More Information Needed]
- Demo [optional]: [More Information Needed]
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- apache-2.0
- Languages
- en, bn, hi, de, it, fr
- Created
- Feb 18, 2026
- Updated
- Feb 22, 2026