# Small RoBERTa

CodeBERTa is a code understanding model based on the RoBERTa architecture, specifically trained for multiple programming languages, capable of efficiently handling code-related tasks.

This is a Korean small RoBERTa model based on sentence-transformers, capable of mapping sentences and paragraphs into a 256-dimensional dense vector space, suitable for tasks such as clustering or semantic search.

This is a small Greek language model based on the RoBERTa architecture, with a parameter scale approximately half of the base model. It is suitable for the masked filling task of Greek text.

This is a RoBERTa model pretrained on the CC-100 dataset, suitable for Belarusian text processing tasks.