# Support for 100 Languages

Centurio is an open-source multilingual large vision-language model supporting 100 languages, capable of processing image-to-text and text-to-text tasks.

This is a multilingual model supporting 100 languages, specifically designed for natural language inference (NLI) and zero-shot classification tasks. It is based on the Baidu ERNIE-M architecture and fine-tuned on the XNLI and MNLI datasets.

XLM-RoBERTa-XL is a multilingual model pre-trained on 2.5TB of filtered CommonCrawl data, covering 100 languages.

XLM-RoBERTa is a multilingual model pretrained on 2.5TB of filtered CommonCrawl data across 100 languages, trained with a masked language modeling objective.

XLM-RoBERTa is a multilingual model pretrained on 2.5TB of filtered CommonCrawl data across 100 languages, using masked language modeling as the training objective.

The XLM model is a cross-lingual language model pre-trained on Wikipedia texts in 100 languages using masked language modeling objectives.