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sergeyzh
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LaBSE-ru-turbo

Sentence Similarity
sentence-transformers
Safetensors
Transformers
Russian
bert
feature-extraction
russian
pretraining
embeddings
Inference Endpoints
text-embeddings-inference
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@@ -37,7 +37,7 @@ print(util.dot_score(embeddings, embeddings))
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  ```
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  ## Метрики
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- Оценки модели на бенчмарке [encodechka](https://github.com/avidale/encodechka):
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  | Model | CPU | GPU | size | Mean S | Mean S+W | dim |
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  |:-----------------------------------|----------:|---------:|---------:|----------:|-----------:|-------:|
@@ -45,7 +45,7 @@ print(util.dot_score(embeddings, embeddings))
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  | BAAI/bge-m3 | 523.40 | 22.50 | 2166 | 0.787 | 0.696 | 1024 |
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  | intfloat/multilingual-e5-large | 506.80 | 30.80 | 2136 | 0.780 | 0.686 | 1024 |
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  | intfloat/multilingual-e5-base | 130.61 | 14.39 | 1061 | 0.761 | 0.669 | 768 |
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- | sergeyzh/rubert-tiny-turbo | 5.51 | 3.25 | 111 | 0.749 | 0.667 | 312 |
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  | intfloat/multilingual-e5-small | 40.86 | 12.09 | 449 | 0.742 | 0.645 | 384 |
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  | cointegrated/LaBSE-en-ru | 120.40 | 8.05 | 490 | 0.739 | 0.667 | 768 |
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@@ -55,7 +55,7 @@ print(util.dot_score(embeddings, embeddings))
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  | BAAI/bge-m3 | 0.864 | 0.749 | 0.510 | 0.819 | 0.973 | 0.792 | 0.809 | 0.783 | 0.240 | 0.422 |
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  | intfloat/multilingual-e5-large | 0.862 | 0.727 | 0.473 | 0.810 | 0.979 | 0.798 | 0.819 | 0.773 | 0.224 | 0.374 |
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  | intfloat/multilingual-e5-base | 0.835 | 0.704 | 0.459 | 0.796 | 0.964 | 0.783 | 0.802 | 0.738 | 0.235 | 0.376 |
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- | sergeyzh/rubert-tiny-turbo | 0.828 | 0.722 | 0.476 | 0.787 | 0.955 | 0.757 | 0.780 | 0.685 | 0.305 | 0.373 |
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  | intfloat/multilingual-e5-small | 0.822 | 0.714 | 0.457 | 0.758 | 0.957 | 0.761 | 0.779 | 0.691 | 0.234 | 0.275 |
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  | cointegrated/LaBSE-en-ru | 0.794 | 0.659 | 0.431 | 0.761 | 0.946 | 0.766 | 0.789 | 0.769 | 0.340 | 0.414 |
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  ```
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  ## Метрики
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+ Оценки модели на бенчмарке [encodechka](https://github.com/sergeyz-zh/encodechka):
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  | Model | CPU | GPU | size | Mean S | Mean S+W | dim |
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  |:-----------------------------------|----------:|---------:|---------:|----------:|-----------:|-------:|
 
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  | BAAI/bge-m3 | 523.40 | 22.50 | 2166 | 0.787 | 0.696 | 1024 |
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  | intfloat/multilingual-e5-large | 506.80 | 30.80 | 2136 | 0.780 | 0.686 | 1024 |
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  | intfloat/multilingual-e5-base | 130.61 | 14.39 | 1061 | 0.761 | 0.669 | 768 |
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+ | [sergeyzh/rubert-tiny-turbo](https://huggingface.co/sergeyzh/rubert-tiny-turbo) | 5.51 | 3.25 | 111 | 0.749 | 0.667 | 312 |
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  | intfloat/multilingual-e5-small | 40.86 | 12.09 | 449 | 0.742 | 0.645 | 384 |
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  | cointegrated/LaBSE-en-ru | 120.40 | 8.05 | 490 | 0.739 | 0.667 | 768 |
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  | BAAI/bge-m3 | 0.864 | 0.749 | 0.510 | 0.819 | 0.973 | 0.792 | 0.809 | 0.783 | 0.240 | 0.422 |
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  | intfloat/multilingual-e5-large | 0.862 | 0.727 | 0.473 | 0.810 | 0.979 | 0.798 | 0.819 | 0.773 | 0.224 | 0.374 |
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  | intfloat/multilingual-e5-base | 0.835 | 0.704 | 0.459 | 0.796 | 0.964 | 0.783 | 0.802 | 0.738 | 0.235 | 0.376 |
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+ | [sergeyzh/rubert-tiny-turbo](https://huggingface.co/sergeyzh/rubert-tiny-turbo) | 0.828 | 0.722 | 0.476 | 0.787 | 0.955 | 0.757 | 0.780 | 0.685 | 0.305 | 0.373 |
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  | intfloat/multilingual-e5-small | 0.822 | 0.714 | 0.457 | 0.758 | 0.957 | 0.761 | 0.779 | 0.691 | 0.234 | 0.275 |
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  | cointegrated/LaBSE-en-ru | 0.794 | 0.659 | 0.431 | 0.761 | 0.946 | 0.766 | 0.789 | 0.769 | 0.340 | 0.414 |
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