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. Xlm Roberta Xl is an open-source project aimed at machine learning engineers. The project is open source (MIT). Xlm Roberta Xl is available on the web and API.
It is developed by Facebook (United States), and the product first shipped in 2017. The GitHub repository has been archived. Among its 3 catalogued features are fill-mask, multilingual, and transformers library.
Latest indexed changes and source events
facebook/xlm-roberta-xl verified by the PulseGate indexer
⚠ Archived
