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# Russian semantic similarity
Rubert Mini Sts
MIT
This is a base BERT model for computing compact embedding vectors of Russian sentences, developed based on cointegrated/rubert-tiny2, with the number of layers increased from 3 to 7.
Text Embedding
Transformers Other
Transformers OtherR
sergeyzh
2,351
4
Labse Ru Sts
MIT
High-quality Russian sentence embedding BERT model, optimized based on cointegrated/LaBSE-en-ru, suitable for semantic text similarity tasks
Text Embedding Transformers Other
Transformers OtherL
sergeyzh
4,650
6
Sbert Synonymy
A model based on sentence-transformers, primarily used to detect synonymy between two short texts (typically single sentences of 10-15 words).
Text Embedding Transformers Other
Transformers OtherS
inkoziev
288
8
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