This is an ONNX export of the XLM-RoBERTa model fine-tuned for language identification across many languages. It allows developers to run fast, lightweight inference for text-classification tasks in any environment that supports ONNX Runtime. The model is hosted on Hugging Face and can be integrated into applications, services, or embedded devices.
Xlm Roberta Base Language Detection is an Other AI project. It focuses on running multilingual language detection models in production environments without heavy Python dependencies. It is built as an open-source project for developers. Xlm Roberta Base Language Detection is open source under the MIT license. It ships for the web and API.
Protect AI builds and maintains Xlm Roberta Base Language Detection, and it first shipped in 2023. The GitHub repository has been archived. Key capabilities include Language Detection, ONNX Runtime, and multilingual.
Summary written by a language model from the project’s public pages.
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