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README.md
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| Модель | STS | PI | NLI | SA | TI |
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| intfloat/multilingual-e5-large | 0.862 | 0.727 | 0.473 | 0.810 | 0.979 |
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| Tochka-AI/ruRoPEBert-e5-base-512 | 0.793 | 0.704 | 0.457 | 0.803 | 0.970 |
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| **sergeyzh/rubert-tiny-sts**
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| cointegrated/LaBSE-en-ru | 0.794 | 0.659 | 0.431 | 0.761 | 0.946 |
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| cointegrated/rubert-tiny2 | 0.750 | 0.651 | 0.417 | 0.737 | 0.937 |
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**Задачи:**
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- Sentiment analysis (**SA**);
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- Toxicity identification (**TI**).
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## Связанные ресурсы
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Вопросы использования модели обсуждаются в [русскоязычном чате NLP](https://t.me/natural_language_processing).
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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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| [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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| **sergeyzh/rubert-tiny-sts** | **0.797** | **0.702** | **0.453** | **0.778** | **0.946** |
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| [cointegrated/LaBSE-en-ru](https://huggingface.co/cointegrated/LaBSE-en-ru) | 0.794 | 0.659 | 0.431 | 0.761 | 0.946 |
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| [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) | 0.750 | 0.651 | 0.417 | 0.737 | 0.937 |
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**Задачи:**
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- Sentiment analysis (**SA**);
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- Toxicity identification (**TI**).
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## Размер и производительность
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| Модель | CPU | GPU | size | dim | vocab |
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| [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) | 149.026 | 15.629 | 2136 | 1024 | 250002 |
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| [Tochka-AI/ruRoPEBert-e5-base-512](https://huggingface.co/Tochka-AI/ruRoPEBert-e5-base-512) | 43.314 | 9.338 | 530 | 768 | 69382 |
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| **sergeyzh/rubert-tiny-sts** | **3.208** | **2.866** | **111** | **312** | **83828** |
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| [cointegrated/LaBSE-en-ru](https://huggingface.co/cointegrated/LaBSE-en-ru) | 42.867 | 8.549 | 490 | 768 | 55083 |
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| [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) | 3.212 | 2.850 | 111 | 312 | 83828 |
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## Связанные ресурсы
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Вопросы использования модели обсуждаются в [русскоязычном чате NLP](https://t.me/natural_language_processing).
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