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@@ -49,6 +49,10 @@ This model was fine-tuned on a manually labeled dataset of Serbian legal documen
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  The model achieved a mean F1 score of 0.96 during cross-validation tests on the labeled dataset, demonstrating robust performance and applicability to real-world scenarios. For detailed information about performed model evaluation and reported results please consult the original conference paper.
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  ## Usage
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  Here’s how to use the model in Python:
 
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  The model achieved a mean F1 score of 0.96 during cross-validation tests on the labeled dataset, demonstrating robust performance and applicability to real-world scenarios. For detailed information about performed model evaluation and reported results please consult the original conference paper.
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+ ## Contributors
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+ - Vladimir Kalušev [https://huggingface.co/kalusev](https://huggingface.co/kalusev)
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+ - Branko Brkljač [https://huggingface.co/brkljac](https://huggingface.co/brkljac)
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  ## Usage
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  Here’s how to use the model in Python: