rubert-large-uncased-sts huggingface.co api & sergeyzh rubert-large-uncased-sts github AI Model

Introduction of rubert-large-uncased-sts

Model Details of rubert-large-uncased-sts

Модель BERT для задач симметричного перефразирования (STS, поиск парафраз, дедупликация) и логического вывода (NLI). Получена дистилляцией эмбеддингов русских и английских текстов Qwen/Qwen3-Embedding-4B .

Модель может использоваться в качестве базовой для дообучения под пользовательские задачи классификации и кластеризации.

Основные характеристики модели:

размер ембеддинга - 1024,
длина контекста - 512,
слоёв - 12,
префиксы - не требуются.

Использование

from sentence_transformers import SentenceTransformer

model = SentenceTransformer('sergeyzh/rubert-large-uncased-sts')

sentences = ["привет мир", "hello world", "здравствуй вселенная"]
embeddings = model.encode(sentences)
print(model.similarity(embeddings, embeddings))

Метрики

Оценки модели на задачах для русского языка:

Model Name	RuSTS Benchmark STS	RU ParaPhraser STS	STS22,v2	TERRa Classification	Average
Qwen3-Embedding-4B	0,888	0,766	0,701	0,666	0,755
rubert-large-uncased-sts	0,869	0,771	0,686	0,664	0,748
multilingual-e5-large-instruct	0,840	0,754	0,706	0,639	0,735
Qwen3-Embedding-0.6B	0,842	0,721	0,662	0,607	0,708
bge-m3	0,797	0,749	0,663	0,607	0,704
multilingual-e5-base	0,796	0,702	0,607	0,550	0,664

Оценки модели на задачах для английского языка:

Model Name	STS12	STS13	STS14	STS15	STS17	STS22,v2	STS Benchmark	Average
Qwen3-Embedding-4B	0,866	0,944	0,909	0,938	0,918	0,730	0,937	0,892
Qwen3-Embedding-0.6B	0,830	0,918	0,871	0,914	0,855	0,718	0,911	0,860
rubert-large-uncased-sts	0,818	0,901	0,864	0,901	0,906	0,660	0,896	0,849
multilingual-e5-large-instruct	0,825	0,881	0,848	0,910	0,860	0,690	0,884	0,842
bge-m3	0,787	0,796	0,790	0,878	0,796	0,700	0,849	0,800
multilingual-e5-base	0,767	0,780	0,766	0,882	0,783	0,646	0,856	0,783

Runs of sergeyzh rubert-large-uncased-sts on huggingface.co

Total runs

24-hour runs

3-day runs

7-day runs

30-day runs

More Information About rubert-large-uncased-sts huggingface.co Model

More rubert-large-uncased-sts license Visit here:

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rubert-large-uncased-sts huggingface.co

rubert-large-uncased-sts huggingface.co is an AI model on huggingface.co that provides rubert-large-uncased-sts's model effect (), which can be used instantly with this sergeyzh rubert-large-uncased-sts model. huggingface.co supports a free trial of the rubert-large-uncased-sts model, and also provides paid use of the rubert-large-uncased-sts. Support call rubert-large-uncased-sts model through api, including Node.js, Python, http.

rubert-large-uncased-sts huggingface.co Url

https://huggingface.co/sergeyzh/rubert-large-uncased-sts

sergeyzh rubert-large-uncased-sts online free

rubert-large-uncased-sts huggingface.co is an online trial and call api platform, which integrates rubert-large-uncased-sts's modeling effects, including api services, and provides a free online trial of rubert-large-uncased-sts, you can try rubert-large-uncased-sts online for free by clicking the link below.

sergeyzh rubert-large-uncased-sts online free url in huggingface.co:

https://huggingface.co/sergeyzh/rubert-large-uncased-sts

rubert-large-uncased-sts install

rubert-large-uncased-sts is an open source model from GitHub that offers a free installation service, and any user can find rubert-large-uncased-sts on GitHub to install. At the same time, huggingface.co provides the effect of rubert-large-uncased-sts install, users can directly use rubert-large-uncased-sts installed effect in huggingface.co for debugging and trial. It also supports api for free installation.