# Multilingual Processing

Kok-Base is a multilingual model supporting English, Arabic, and Czech, suitable for various natural language processing tasks.

Stanza is an efficient multilingual linguistic analysis toolkit that provides natural language processing capabilities from raw text to syntactic analysis and entity recognition.

Stanza is a corpus toolkit for accurate and efficient analysis of multiple languages, providing natural language processing models from raw text to syntactic parsing and named entity recognition.

This is a pre-trained model specifically designed for language identification in Hindi-English code-mixed data.

A ParsBERT-based multiple-choice question answering model specifically designed for Persian language, capable of handling four-option questions

Stanza is a precise and efficient multilingual text analysis toolkit, providing natural language processing models from raw text to syntactic parsing and named entity recognition.

A streamlined version customized from bert-base-multilingual-cased, supporting English and Russian while maintaining the original model's representation output and accuracy.

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

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

This is a customized compact version of bert-base-multilingual-cased, specifically supporting English and Ukrainian processing while maintaining the original model's representation output and accuracy.