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Update README.md

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@@ -17,7 +17,7 @@ Short sequence length is used to reduce the memory footprint.
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  The dataset for validation with manual markup consisted of 362 thousand examples.
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- |![Validation results](https://huggingface.co/fkrasnov2/SBE/resolve/main/bvf_recall1k_query_len_eng.svg)|
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  ```python
@@ -36,13 +36,12 @@ assert model.config.hidden_size == vector.shape[0]
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  This model is designed for use in e-commerce IR and helps differentiate products.
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- ## direct_use
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- The same products:
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  - cos ( SBE("apple 16 синий про макс 256"), SBE("iphone 16 синий pro max 256") ) = 0.96
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  - cos ( SBE("iphone 15 pro max"), SBE("айфон 15 про макс") ) = 0.98
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- Different products:
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  - cos ( SBE("iphone 15 pro max"), SBE("iphone 16 pro max") ) = 0.85
 
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  The dataset for validation with manual markup consisted of 362 thousand examples.
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+ ![Validation results](https://huggingface.co/fkrasnov2/SBE/resolve/main/bvf_recall1k_query_len_eng.svg)
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  ```python
 
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  This model is designed for use in e-commerce IR and helps differentiate products.
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+ **The same products**:
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  - cos ( SBE("apple 16 синий про макс 256"), SBE("iphone 16 синий pro max 256") ) = 0.96
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  - cos ( SBE("iphone 15 pro max"), SBE("айфон 15 про макс") ) = 0.98
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+ **Different products**:
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  - cos ( SBE("iphone 15 pro max"), SBE("iphone 16 pro max") ) = 0.85