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multilingual-e5-large-onnx
nixiesearch/multilingual-e5-large-onnx
multilingual-e5-large-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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At a glance
- Task
- Feature Extraction
- Library
- sentence-transformers
- License
- apache-2.0
- Model type
- xlm-roberta
- Access
- Public
- Created
- Nov 17, 2023
- Updated
- Nov 17, 2023
- SHA
- f3028d7b
Model card
From the Hugging Face model README
ONNX version of intfloat/multilingual-e5-large
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-large --quantize QInt8 --optimize 0
There are two versions of model available:
model.onnx- Float32 version, with optimize=0model_opt0_QInt8.onnx- QInt8 quantized version, with optimize=0
Compared to the base/small versions of the model, this one is not optimized due to a bug in ONNX runtime: https://github.com/microsoft/onnxruntime/issues/15563
License
Apache 2.0
- Task
- Feature Extraction
- Library
- sentence-transformers
- Type
- xlm-roberta
- License
- apache-2.0
- Languages
- en
- Created
- Nov 17, 2023
- Updated
- Nov 17, 2023