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ONNX version of intfloat/e5-base-v2

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/e5-base-v2 --quantize QInt8 --optimize 2

There are two versions of model available:

  • model.onnx - Float32 version, with optimize=2
  • model_opt2_QInt8.onnx - QInt8 quantized version, with optimize=2


Apache 2.0

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Datasets used to train nixiesearch/e5-base-v2-onnx