# Russian-English bilingual embedding

FRIDA is a general-purpose text embedding model fine-tuned with full parameters based on the T5 denoising architecture, supporting Russian and English text processing.

This model is used to compute embedding vectors for Russian and English sentences, obtained by distilling the embedding vectors from ai-forever/FRIDA. The model is of the uncased type, meaning it does not distinguish between uppercase and lowercase letters in the text.

BERTA is obtained by distilling the embedding vectors of the FRIDA model into LaBSE-ru-turbo, which is used to calculate the embedding vectors of Russian and English sentences and supports multiple prefix tasks.

A lightweight and fast modified version of the FRIDA model for computing embedding vectors of Russian and English sentences