Tochka-AI
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ruRoPEBert-e5-base-2k

Feature Extraction

text-embeddings-inference

Inference Endpoints

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Tochka-AI commited on Mar 4

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@@ -13,7 +13,7 @@ This is an encoder model from **Tochka AI** based on the **RoPEBert** architectu
 [CulturaX](https://huggingface.co/papers/2309.09400) dataset was used for model training. The **hivaze/ru-e5-base** (only english and russian embeddings of **intfloat/multilingual-e5-base**) model was used as the original; this model surpasses it and all other models in quality (at the time of creation), according to the `S+W` score of [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-2k/blob/main/modeling_rope_bert.py)
 The model is trained on contexts **up to 2048 tokens** in length, but can be used on larger contexts.

 [CulturaX](https://huggingface.co/papers/2309.09400) dataset was used for model training. The **hivaze/ru-e5-base** (only english and russian embeddings of **intfloat/multilingual-e5-base**) model was used as the original; this model surpasses it and all other models in quality (at the time of creation), according to the `S+W` score of [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-e5-base-2k/blob/main/modeling_rope_bert.py)
 The model is trained on contexts **up to 2048 tokens** in length, but can be used on larger contexts.