ruSciBERT
Model was trained by Sber AI team and MLSA Lab of Institute for AI, MSU. If you use our model for your project, please tell us about it (nikgerasimenko@gmail.com).
Presentation at the AI Journey 2022
- Task:
mask filling - Type:
encoder - Tokenizer:
bpe - Dict size:
50265 - Num Parameters:
123 M - Training Data Volume:
6.5 GB
- Downloads last month
- 18,346
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support