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Hi, I'm Shun0212, a student and open source developer focused on building advanced code understanding and code search models, especially for multilingual and function-level retrieval tasks.
I’m the creator of CodeSearch-ModernBERT-Crow-Plus, a state-of-the-art model listed on the MTEB leaderboard. My tools help developers find reusable code across large repositories using natural language.

With your support, I can:

  • Develop better open models for the community
  • Create accessible tools like GitHub code search demos
  • Explore new tasks like retrieval-augmented generation (RAG) for code
  • And reduce part-time work hours to focus more on research and development

More time means more innovation and higher quality for the community. Thank you for your support!

Featured work

  1. embeddings-benchmark/mteb

    MTEB: Massive Text Embedding Benchmark

    Python 3,248
  2. embeddings-benchmark/results

    Data for the MTEB leaderboard

    Python 53
  3. Shun0212/CodeBERTPretrained

    このリポジトリでは、CodeSearchNet データセットを用いて、Pythonのコード検索タスク向けに BERT モデルをゼロから学習するプロジェクトを提供します。This repository provides a project for training a BERT model from scratch for the Python code search task using t…

    Jupyter Notebook 1
  4. Shun0212/CodeSearch-Crow

    CodeSearch-Crowは、日本語の自然言語クエリを用いて、指定した GitHub リポジトリ内のコードスニペットを検索するツールです. This tool allows you to search for relevant code snippets in a GitHub repository using natural Japanese language queries.

    Jupyter Notebook

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