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LaBSE-ru-sts

Sentence Similarity
sentence-transformers
Safetensors
Transformers
Russian
bert
pretraining
russian
embeddings
feature-extraction
Inference Endpoints
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@@ -61,7 +61,7 @@ print(util.dot_score(embeddings, embeddings))
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  | Модель | STS | PI | NLI | SA | TI |
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  |:---------------------------------|:---------:|:---------:|:---------:|:---------:|:---------:|
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  | [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) | 0.862 | 0.727 | 0.473 | 0.810 | 0.979 |
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- | **sergeyzh/LaBSE-ru-sts** | **0.845** | **0.737** | **0.481** | **0.805** | **0.957** |
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  | [sergeyzh/rubert-mini-sts](https://huggingface.co/sergeyzh/rubert-mini-sts) | 0.815 | 0.723 | 0.477 | 0.791 | 0.949 |
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  | [sergeyzh/rubert-tiny-sts](https://huggingface.co/sergeyzh/rubert-tiny-sts) | 0.797 | 0.702 | 0.453 | 0.778 | 0.946 |
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  | [Tochka-AI/ruRoPEBert-e5-base-512](https://huggingface.co/Tochka-AI/ruRoPEBert-e5-base-512) | 0.793 | 0.704 | 0.457 | 0.803 | 0.970 |
@@ -83,7 +83,7 @@ print(util.dot_score(embeddings, embeddings))
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  | Модель | CPU | GPU | size | dim | n_ctx | n_vocab |
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  |:---------------------------------|----------:|----------:|----------:|----------:|----------:|----------:|
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  | [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) | 149.026 | 15.629 | 2136 | 1024 | 514 | 250002 |
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- | **sergeyzh/LaBSE-ru-sts** |**42.835** | **8.561** | **490** | **768** | **512** | **55083** |
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  | [sergeyzh/rubert-mini-sts](https://huggingface.co/sergeyzh/rubert-mini-sts) | 6.417 | 5.517 | 123 | 312 | 2048 | 83828 |
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  | [sergeyzh/rubert-tiny-sts](https://huggingface.co/sergeyzh/rubert-tiny-sts) | 3.208 | 3.379 | 111 | 312 | 2048 | 83828 |
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  | [Tochka-AI/ruRoPEBert-e5-base-512](https://huggingface.co/Tochka-AI/ruRoPEBert-e5-base-512) | 43.314 | 9.338 | 532 | 768 | 512 | 69382 |
 
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  | Модель | STS | PI | NLI | SA | TI |
62
  |:---------------------------------|:---------:|:---------:|:---------:|:---------:|:---------:|
63
  | [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) | 0.862 | 0.727 | 0.473 | 0.810 | 0.979 |
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+ | **sergeyzh/LaBSE-ru-sts** | 0.845 | 0.737 | 0.481 | 0.805 | 0.957 |
65
  | [sergeyzh/rubert-mini-sts](https://huggingface.co/sergeyzh/rubert-mini-sts) | 0.815 | 0.723 | 0.477 | 0.791 | 0.949 |
66
  | [sergeyzh/rubert-tiny-sts](https://huggingface.co/sergeyzh/rubert-tiny-sts) | 0.797 | 0.702 | 0.453 | 0.778 | 0.946 |
67
  | [Tochka-AI/ruRoPEBert-e5-base-512](https://huggingface.co/Tochka-AI/ruRoPEBert-e5-base-512) | 0.793 | 0.704 | 0.457 | 0.803 | 0.970 |
 
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  | Модель | CPU | GPU | size | dim | n_ctx | n_vocab |
84
  |:---------------------------------|----------:|----------:|----------:|----------:|----------:|----------:|
85
  | [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) | 149.026 | 15.629 | 2136 | 1024 | 514 | 250002 |
86
+ | **sergeyzh/LaBSE-ru-sts** | 42.835 | 8.561 | 490 | 768 | 512 | 55083 |
87
  | [sergeyzh/rubert-mini-sts](https://huggingface.co/sergeyzh/rubert-mini-sts) | 6.417 | 5.517 | 123 | 312 | 2048 | 83828 |
88
  | [sergeyzh/rubert-tiny-sts](https://huggingface.co/sergeyzh/rubert-tiny-sts) | 3.208 | 3.379 | 111 | 312 | 2048 | 83828 |
89
  | [Tochka-AI/ruRoPEBert-e5-base-512](https://huggingface.co/Tochka-AI/ruRoPEBert-e5-base-512) | 43.314 | 9.338 | 532 | 768 | 512 | 69382 |