yuniko-software/bge-m3-onnx
ONNX implementation of the BGE-M3 multilingual embedding model and tokenizer with native C#, Java, and Python implementations. Generates all three embedding types: dense, sparse, and ColBERT vectors.
This project helps developers integrate advanced multilingual text understanding into their applications. It takes raw text in many languages and converts it into numerical representations (embeddings) suitable for tasks like search or recommendation systems. This is for software developers building applications that need to process and compare text efficiently, especially across different languages.
Use this if you are a developer building an application that needs to understand and compare text across multiple languages, requiring fast, local processing without external API calls.
Not ideal if you are an end-user without programming experience, as this is a developer tool requiring coding knowledge to implement.
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Jupyter Notebook
License
Apache-2.0
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Last pushed
Mar 09, 2026
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