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@@ -17,6 +17,18 @@ library_name: transformers
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  <img src="https://miro.medium.com/v2/resize:fit:1400/1*G5AyGtaUAQBcVLikpxu6CQ.png" style="border-radius: 5%;">
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  ## Overview
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  Language identification is a foundational task in Natural Language Processing (NLP). This project introduces a meticulously fine-tuned language identification model, rooted in the robust XLM-RoBERTa architecture. It excels at classifying text in five diverse languages: English, French, German, Arabic, and Russian. Delve into the intricate details of this cutting-edge model that pushes the boundaries of multilingual language identification.
 
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  <img src="https://miro.medium.com/v2/resize:fit:1400/1*G5AyGtaUAQBcVLikpxu6CQ.png" style="border-radius: 5%;">
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+ ## language:
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+ - en
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+ - fr
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+ - de
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+ - ru
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+ - ar
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+ ## metrics:
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+ - f1
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+ - accuracy
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+ - precision
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+ - recall
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+ ## library_name: transformers
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  ## Overview
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  Language identification is a foundational task in Natural Language Processing (NLP). This project introduces a meticulously fine-tuned language identification model, rooted in the robust XLM-RoBERTa architecture. It excels at classifying text in five diverse languages: English, French, German, Arabic, and Russian. Delve into the intricate details of this cutting-edge model that pushes the boundaries of multilingual language identification.