mDeBERTa-v3-base-xnli-multilingual-nli-2mil7 is an open-weight multilingual natural language inference model for zero-shot text classification. Developers can run it locally with Transformers, PyTorch, or ONNX across 27 languages.
is an Other AI project. It focuses on classifying text into user-defined categories across multiple languages without training a dedicated classifier. It is built as an open-source project for machine learning developers. The project is open source (MIT). It runs on the web, and it can be self-hosted.
Behind is Moritz Laurer, and it first shipped in 2018. The project is developed in the open on GitHub with 80 stars. Key capabilities include zero-shot classification, Multilingual NLI, and text classification.
Summary written by a language model from the project’s public pages.
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