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add readme

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+ ---
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+ tags:
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+ - sentence-transformers
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+ - feature-extraction
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+ - sentence-similarity
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+ language: en
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+ license: apache-2.0
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+ datasets:
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+ - s2orc
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+ - flax-sentence-embeddings/stackexchange_xml
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+ - ms_marco
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+ - gooaq
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+ - yahoo_answers_topics
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+ - code_search_net
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+ - search_qa
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+ - eli5
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+ - snli
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+ - multi_nli
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+ - wikihow
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+ - natural_questions
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+ - trivia_qa
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+ - embedding-data/sentence-compression
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+ - embedding-data/flickr30k-captions
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+ - embedding-data/altlex
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+ - embedding-data/simple-wiki
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+ - embedding-data/QQP
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+ - embedding-data/SPECTER
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+ - embedding-data/PAQ_pairs
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+ - embedding-data/WikiAnswers
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+
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+ ---
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+
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+ # ONNX version of intfloat/e5-large-v2
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+
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+ 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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+
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+ The model conversion was made with [onnx-convert](https://github.com/nixiesearch/onnx-convert) tool with the following parameters:
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+
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+ ```shell
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+ python convert.sh --model_id intfloat/e5-large-v2 --quantize QInt8 --optimize 2
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+ ```
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+
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+ There are two versions of model available:
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+
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+ * `model.onnx` - Float32 version, with optimize=2
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+ * `model_opt2_QInt8.onnx` - QInt8 quantized version, with optimize=2
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+
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+ ## License
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+
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+ Apache 2.0