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# Multilingual mDeBERTa-v3-base-mnli-xnli
## Model description
This multilingual model can perform NLI on 100+ languages. It was pre-trained by Microsoft on the [CC100 multilingual dataset](https://huggingface.co/datasets/cc100). It was then fine-tuned on the [XNLI dataset](https://huggingface.co/datasets/xnli), which contains hypothesis-premise pairs from 15 languages as well as the English [MNLI dataset](https://huggingface.co/datasets/multi_nli).
As of December 2021, mDeBERTa-base is the best performing multilingual transformer model, introduced by Microsoft in [this paper](https://arxiv.org/pdf/2111.09543.pdf).
As of December 2021, mDeBERTa-base is the best performing multilingual transformer (base) model, introduced by Microsoft in [this paper](https://arxiv.org/pdf/2111.09543.pdf).
## Intended uses & limitations