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# Russian-English Bilingual Model
Rumodernbert Small
Apache-2.0
A modern Russian version of a unidirectional and bidirectional encoder Transformer model, pre-trained on approximately 2 trillion tokens of Russian, English, and code data, with a context length of up to 8,192 tokens.
Large Language Model
Transformers Supports Multiple Languages
Transformers Supports Multiple LanguagesR
deepvk
619
14
Rubert Tiny
MIT
An extremely compact distilled version (45MB, 12M parameters) of the bert-base-multilingual-cased model for Russian and English, prioritizing speed and size over absolute accuracy
Large Language Model Transformers Supports Multiple Languages
Transformers Supports Multiple LanguagesR
cointegrated
36.18k
41
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