mDeBERTa-v3-base-mnli-xnli is a fine-tuned multilingual DeBERTa-v3 model trained on MNLI and XNLI datasets. It enables zero-shot classification and natural language inference in 16 languages. The model is available on Hugging Face and can be used directly with the Transformers pipeline for text-classification tasks.
is an Other AI product. It focuses on performing zero-shot classification and NLI across 16 languages without task-specific training data. It is built as an open-source project for developers. is open source under the MIT license. The product ships for the web and API.
Behind is Moritz Laurer, and the product first shipped in 2020. Development happens publicly on GitHub with 2.2k stars. Key capabilities include zero-shot classification, natural language inference, and multilingual support.
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