# Text Representation

XLM-RoBERTa is a multilingual pre-trained model based on the RoBERTa architecture, supporting 100 languages and suitable for cross-lingual understanding tasks.

XLM-RoBERTa-large is a multilingual pretrained language model based on the RoBERTa architecture, supporting various natural language processing tasks in multiple languages.

This is a French-specific version of the multilingual distilled BERT base model, retaining the original model's accuracy while being more compact.

A Thai version customized from the multilingual distilled BERT base model, retaining the original model's accuracy and feature representation capabilities.

This is a distilled version of distilbert-base-multilingual-cased, specifically optimized for English and Russian, maintaining the original model's accuracy.