# Code Search Optimization

A sentence transformer model specifically designed for code search, based on the ModernBERT architecture, supporting 8192 token long sequence processing

A pre-trained model specifically trained from scratch for code search and code understanding tasks, supporting sequences up to 2048 tokens in length, with outstanding performance in Python code search tasks.

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 model based on sentence-transformers that can map sentences and paragraphs into a 768-dimensional dense vector space, suitable for tasks such as clustering or semantic search.