sberbank-ai/ruRoberta-large
The ruRoberta-large model was trained by the SberDevices team for mask filling tasks using encoders and BBPE tokenizers. It has 355 million parameters and was trained on 250GB of data. The NLP Core Team RnD, including Dmitry Zmitrovich, contributed to its development.
The ruRoberta-large model was trained by the SberDevices team for mask filling tasks using encoders and BBPE tokenizers. It has 355 million parameters and was trained on 250GB of data. The NLP Core Team RnD, including Dmitry Zmitrovich, contributed to its development.
Public
$0.0005/sec
Input
text prompt, should include exactly one <mask> token
You need to login to use this model
Output
where is my father? (0.09)
where is my mother? (0.08)
