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nixiesearch/multilingual-e5-small-onnx
multilingual-e5-small-onnx is a feature extraction model from nixiesearch. Use it when you need embeddings to search or compare text. It is set up for sentence-transformers. The card lists the license as apache-2.0.
This is a sentence-transformers model: It maps sentences & paragraphs to a N dimensional dense vector space and can be used for tasks like clustering or semantic search.
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From the Hugging Face model README
This is a sentence-transformers model: It maps sentences & paragraphs to a N dimensional dense vector space and can be used for tasks like clustering or semantic search.
The model conversion was made with onnx-convert tool with the following parameters:
python convert.sh --model_id intfloat/multilingual-e5-small --quantize QInt8 --optimize 2
There are two versions of model available:
model.onnx - Float32 version, with optimize=2model_opt2_QInt8.onnx - QInt8 quantized version, with optimize=2Apache 2.0