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 sits in PulseGate's Embeddings & retrieval category. It focuses on running high-quality English text embeddings directly in web browsers and JavaScript environments without server calls. It is built as an open-source project for web developers. Bge Small En is open source under the Open Source license. It ships for the web, the command line, and API.
It is developed by Xenova, and it first shipped in 2023. Key capabilities include Feature Extraction, ONNX weights, and javaScript inference.
Summary written by a language model from the project’s public pages.
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