This is an ONNX-converted version of the BAAI/bge-small-en-v1.5 embedding model optimized for Transformers.js. It enables efficient feature extraction and semantic text embeddings to run locally in JavaScript environments such as browsers, Node.js, and edge devices. The model is intended for developers building AI-powered web applications that require offline-capable natural language understanding.
Bge Small En is a Foundation models & chat product. It focuses on running high-quality English text embeddings directly in web browsers and JavaScript environments without server calls. Bge Small En is an open-source project aimed at web developers. The project is open source (Open Source). It runs on the web, the command line, and API.
It is developed by Xenova, and the product first shipped in 2023. Among its 3 catalogued features are Feature Extraction, ONNX weights, and javaScript inference.
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