Xenova/bge-small-zh-v1.5 is an ONNX-converted version of the BAAI/bge-small-zh-v1.5 Chinese embedding model, optimized for use with Transformers.js. It enables feature extraction and text embedding directly in web browsers and Node.js environments without requiring Python or server-side inference. The model is designed for semantic search, retrieval, and other embedding-based tasks for Chinese language content.
In the Foundation models & chat space, Bge Small Zh takes a focused approach. It focuses on running Chinese text embedding and feature extraction models directly in the browser or JavaScript environments without server infrastructure. It is built as an open-source project for javaScript and web developers. Bge Small Zh is free to use. It ships for the web, the command line, and API.
Behind Bge Small Zh is Xenova, and it first shipped in 2023. Key capabilities include ONNX Runtime, Browser Inference, and Feature Extraction.
Summary written by a language model from the project’s public pages.
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