# Text post-processing

The medium model in the RUPunct series, specializing in Russian text punctuation restoration, achieving a balance between performance and quality.

RUPunct_small is the smallest model in the RUPunct series, suitable for processing simple texts and scenarios requiring high-speed operation on CPU.

This is a Transformer model for Turkish text punctuation restoration, capable of predicting the correct positions of periods (.), commas (,), and question marks (?).

A fine-tuned model based on xlm-roberta for restoring punctuation, correcting case, and detecting sentence boundaries in 47 languages.

A Chinese punctuation restoration model fine-tuned based on DistilBertForTokenClassification, specifically designed to add punctuation marks to unpunctuated Chinese text