This large XLM-RoBERTa model was fine-tuned on the XNLI and MultiNLI datasets. It enables zero-shot classification by framing tasks as textual entailment, supporting a wide range of languages.
In the Classification & entity recognition space, Xlm Roberta Large Xnli takes a focused approach. It focuses on performing natural language inference and zero-shot classification across many languages without task-specific training data. It is built as an open-source project for developers. The project is open source (Open Source). It ships for the web and API.
Behind Xlm Roberta Large Xnli is joeddav.
Summary written by a language model from the project’s public pages.
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