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docs: adding labels description

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@@ -18,7 +18,7 @@ This model was developed for multi-label classification of customer feedback in
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  ## Model Description
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- The model is designed to analyze customer feedback and automatically categorize it into multiple relevant labels, helping businesses quickly identify and address various aspects of their food delivery service.
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  ### Key Features:
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  - Multi-label classification across 50 distinct categories
@@ -67,7 +67,9 @@ Prediction: "0 1 10 2" # Extra label is considered incorrect
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  - Packaging condition
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  - Courier behavior
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  - App/website functionality
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- - Payment issues
 
 
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  ## Usage
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  ## Model Description
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+ The model is designed to analyze customer feedback on Russian and automatically categorize it into multiple relevant labels, helping businesses quickly identify and address various aspects of their food delivery service.
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  ### Key Features:
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  - Multi-label classification across 50 distinct categories
 
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  - Packaging condition
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  - Courier behavior
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  - App/website functionality
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+ - Payment issues etc.
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+
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+ -> Full labels [see here](https://huggingface.co/metanovus/ruroberta-ecom-tech-best/blob/main/trends_description.csv)
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  ## Usage
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