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@@ -46,7 +46,7 @@ Thus it is useful for Natural Language Inference and related tasks such as Zero-
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  - **Language(s) (NLP):** Fine-tuned for Myanmar (Burmese) and English
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  - **License:** MIT
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  - **Finetuned from model:** mDeBERTa v3 base https://huggingface.co/microsoft/mdeberta-v3-base
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- - **Paper :** For the foundation model mDeBERTa v3, please refer to the paper https://arxiv.org/abs/2111.09543
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  - **Demo :** A demo of Zero-shot Text Classification in Myanmar can be found on this page.
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  ## Bias, Risks, and Limitations
 
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  - **Language(s) (NLP):** Fine-tuned for Myanmar (Burmese) and English
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  - **License:** MIT
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  - **Finetuned from model:** mDeBERTa v3 base https://huggingface.co/microsoft/mdeberta-v3-base
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+ - **Paper :** Myanmar XNLI https://www.researchsquare.com/article/rs-4329843
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  - **Demo :** A demo of Zero-shot Text Classification in Myanmar can be found on this page.
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  ## Bias, Risks, and Limitations