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  license: mit
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ tags:
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+ - Sentence Transformers
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+ - sentence-similarity
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+ - sentence-transformers
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  license: mit
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+ pipeline_tag: sentence-similarity
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+ language:
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+ - multilingual
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+ - af
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+ - am
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+ - ar
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+ - as
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+ - az
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+ - be
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+ - bg
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+ - bn
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+ - br
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+ - bs
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+ - ca
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+ - cs
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+ - cy
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+ - da
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+ - de
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+ - el
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+ - en
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+ - eo
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+ - es
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+ - et
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+ - eu
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+ - fa
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+ - fi
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+ - fr
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+ - fy
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+ - ga
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+ - gd
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+ - gl
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+ - gu
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+ - ha
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+ - he
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+ - hi
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+ - hr
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+ - hu
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+ - hy
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+ - id
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+ - is
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+ - it
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+ - ja
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+ - jv
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+ - ka
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+ - kk
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+ - km
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+ - kn
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+ - ko
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+ - ku
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+ - ky
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+ - la
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+ - lo
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+ - lt
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+ - lv
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+ - mg
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+ - mk
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+ - ml
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+ - mn
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+ - mr
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+ - ms
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+ - my
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+ - ne
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+ - nl
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+ - 'no'
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+ - om
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+ - or
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+ - pa
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+ - pl
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+ - ps
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+ - pt
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+ - ro
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+ - ru
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+ - sa
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+ - sd
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+ - si
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+ - sk
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+ - sl
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+ - so
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+ - sq
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+ - sr
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+ - su
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+ - sv
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+ - sw
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+ - ta
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+ - te
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+ - th
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+ - tl
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+ - tr
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+ - ug
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+ - uk
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+ - ur
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+ - uz
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+ - vi
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+ - xh
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+ - yi
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+ - zh
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  ---
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+
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+ A quantized version of [multilingual-e5-small](https://huggingface.co/intfloat/multilingual-e5-small) for Intel CPUs.
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+
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+ [Text Embeddings by Weakly-Supervised Contrastive Pre-training](https://arxiv.org/pdf/2212.03533.pdf).
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+ Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, Furu Wei, arXiv 2022
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+
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+ This model has 12 layers and the embedding size is 384.
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+
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+ ## Usage
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+
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+ TBD