[!WARNING] THIS PROJECT HAS BEEN ARCHIVED. This project and its associated code on GitHub are no longer under active development or maintained. ONNX version of papluca/xlm roberta base language detection This model is a conversion of papluca/xlm roberta base language detection to ONNX format using the 🤗 Optimum library. Model description This model is a fine tuned version of xlm roberta base on the Language Identification dataset. This model is an XLM RoBERTa transformer model with a classification head on top (i.e. a linear layer on top of the pooled output). For additional information please refer to the xlm roberta base model card or to the paper Unsupervised Cross lingual Representation Learning at Scale by Conneau et al. Intended uses & limitations You can directly use this model as a language detector, i.e. for sequence classification tasks. Currently, it supports the following 20 languages: arabic (ar), bulgarian (bg), german (de), modern greek (el), english (en), spanish (es), french (fr), hindi (hi), italian (it), japanese (ja), dutch (nl), polish (pl), portuguese (pt), russian (ru), swahili (sw), thai (th), turkish (tr), urdu (ur), vietnamese (vi), and chinese (zh) Usage…
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