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.
MoritzLaurer/mDeBERTa-v3-base-mnli-xnli sits in PulseGate's Other AI category. 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. The project is open source (MIT). MoritzLaurer/mDeBERTa-v3-base-mnli-xnli is available on the web and API.
Behind MoritzLaurer/mDeBERTa-v3-base-mnli-xnli is Moritz Laurer, and it 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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