MoritzLaurer/mDeBERTa-v3-base-mnli-xnli

Model details

About MoritzLaurer/mDeBERTa-v3-base-mnli-xnli

Multilingual mDeBERTa-v3-base-mnli-xnli Model description This multilingual model can perform natural language inference (NLI) on 100 languages and is therefore also suitable for multilingual zero-shot classification. The underlying model was pre-trained by Microsoft on the CC100 multilingual dataset. It was then fine-tuned on the XNLI dataset, which contains hypothesis-premise pairs from 15 languages, as well as the English MNLI dataset. As of December 2021, mDeBERTa-base is the best performing multilingual base-sized transformer model, introduced by Microsoft in this paper.