Tochka-AI
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ruRoPEBert-classic-base-512

Feature Extraction

text-embeddings-inference

Inference Endpoints

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Tochka-AI commited on Mar 4

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 ## ruRoPEBert Classic Model for Russian language
-This is an encoder model from **Tochka AI** based on the **RoPEBert** architecture, using the cloning method described in [our article on Habr](https://habr.com/ru/companies/tochka/articles/797561/). \
 [CulturaX](https://huggingface.co/papers/2309.09400) dataset was used for model training. The **ai-forever/ruBert-base** model was used as the original; this model surpasses it in quality, according to the [encodechka](https://github.com/avidale/encodechka) benchmark.
 The model source code is available in the file [modeling_rope_bert.py](https://huggingface.co/Tochka-AI/ruRoPEBert-classic-base-512/blob/main/modeling_rope_bert.py)

 ## ruRoPEBert Classic Model for Russian language
+This is an encoder model from **Tochka AI** based on the **RoPEBert** architecture, using the cloning method described in [our article on Habr](https://habr.com/ru/companies/tochka/articles/797561/).
 [CulturaX](https://huggingface.co/papers/2309.09400) dataset was used for model training. The **ai-forever/ruBert-base** model was used as the original; this model surpasses it in quality, according to the [encodechka](https://github.com/avidale/encodechka) benchmark.
 The model source code is available in the file [modeling_rope_bert.py](https://huggingface.co/Tochka-AI/ruRoPEBert-classic-base-512/blob/main/modeling_rope_bert.py)