# News Text Optimization

A semantic text similarity and embedding model specifically designed for Persian, capable of mapping sentences into a dense vector space where semantically similar texts are positioned close to each other.

This model is an Indonesian text summarization model based on the PEGASUS architecture, fine-tuned on the Indosum, Liputan6, and XLSum datasets, suitable for news text summarization tasks.

Pretrained Uzbek (Cyrillic & Latin alphabets) masked language modeling and sentence prediction model

This is a machine translation model from Spanish to English based on the Transformer architecture, developed by the Helsinki-NLP team.