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README.md
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---
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pipeline_tag: sentence-similarity
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tags:
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- sentence-transformers
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- feature-extraction
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Have a look at the [SBERT.net - Multilingual-Models documentation](https://www.sbert.net/examples/training/multilingual/README.html) on more details and for **training code**.
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## Full Model Architecture
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```
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---
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pipeline_tag: sentence-similarity
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language: multilingual
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tags:
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- sentence-transformers
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- feature-extraction
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Have a look at the [SBERT.net - Multilingual-Models documentation](https://www.sbert.net/examples/training/multilingual/README.html) on more details and for **training code**.
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We used the following 50+ languages to align the vector spaces: ar, bg, ca, cs, da, de, el, es, et, fa, fi, fr, fr-ca, gl, gu, he, hi, hr, hu, hy, id, it, ja, ka, ko, ku, lt, lv, mk, mn, mr, ms, my, nb, nl, pl, pt, pt, pt-br, ro, ru, sk, sl, sq, sr, sv, th, tr, uk, ur, vi, zh-cn, zh-tw.
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The original multilingual DistilBERT supports 100+ lanugages. The model also work for these languages, but might not yield the best results.
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## Full Model Architecture
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```
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