facebook/xlm-roberta-xl is a large-scale multilingual version of the RoBERTa model published on Hugging Face. It supports fill-mask tasks across many languages and is designed for transfer learning in natural language understanding. The model can be used via the Transformers library for research, fine-tuning, or inference in production NLP pipelines.
In the Foundation models & chat space, Xlm Roberta Xl takes a focused approach. It focuses on accessing and using a pre-trained large multilingual RoBERTa model for NLP tasks without training from scratch. It is built as an open-source project for machine learning engineers. Xlm Roberta Xl is open source under the MIT license. It runs on the web and API.
Behind Xlm Roberta Xl is Facebook, based in the United States, and it first shipped in 2017. The GitHub repository has been archived. Key capabilities include fill-mask, multilingual, and transformers library.
Summary written by a language model from the project’s public pages.
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