language: en Model Card for XLM RoBERTa for NER XLM RoBERTa finetuned on NER. Model Details Model Description XLM RoBERTa finetuned on NER. Developed by: Asahi Ushio Shared by [Optional]: Hugging Face Model type: Token Classification Language(s) (NLP): en License: More information needed Related Models: XLM RoBERTa Parent Model: XLM RoBERTa Resources for more information: GitHub Repo Associated Paper Space Uses Direct Use Token Classification Downstream Use [Optional] This model can be used in conjunction with the tner library. Out of Scope Use The model should not be used to intentionally create hostile or alienating environments for people. Bias, Risks, and Limitations Significant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups. Recommendations Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recomendations. Training Details Trainin…
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