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rubert-base-cased-mcn
sagteam/rubert-base-cased-mcn
rubert-base-cased-mcn is a feature extraction model from sagteam. Use it when you need embeddings to search or compare text. It is set up for transformers.
Normalization model, based on rubert, for linking phrases to their MedDRA concepts in russian. F1-micro of this model is 71.34 on the 4th fold of the RDRS corpus of russian internet drug reviews.
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Oct 19, 2022
- Updated
- Oct 27, 2022
- SHA
- fe5adfb0
Model card
From the Hugging Face model README
rubert-base-cased-mcn
Normalization model, based on rubert, for linking phrases to their MedDRA concepts in russian. F1-micro of this model is 71.34 on the 4th fold of the RDRS corpus of russian internet drug reviews.
The use of the weights of the current model and the calculation of accuracies on the laid out RDRS corpus is contained in our repository on our repo.
- Task
- Feature Extraction
- Library
- transformers
- Type
- bert
- Languages
- ru
- Created
- Oct 19, 2022
- Updated
- Oct 27, 2022