# Text Completion

A small-scale language model based on the BERT architecture, specifically designed for Kyrgyz natural language processing applications.

Chinese pre-trained language model based on DeBERTa-v2 architecture with 320 million parameters, excelling in natural language understanding tasks

This is a pre-trained language model based on the RoBERTa architecture, specifically optimized for Brazilian Portuguese.

This is a model based on the RoBERTa-base architecture, fully trained from scratch using Spanish data, specializing in masked language modeling tasks.

A variant of the BERT model pre-trained using knowledge distillation technology, with a hidden layer dimension of 240 and 12 attention heads, suitable for masked language modeling tasks.