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  # Model Card: nllb-3.3B-Turkish
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- ## Version: Based on nllb-3.3B-Turkish: Further pretrained on a large corpus of English-to-Turkish dataset.
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  The training dataset for nllb-3.3B-Turkish consists of approximately 490,000 pairs of translated texts. These pairs are predominantly sourced from movie subtitles, offering a diverse range of linguistic structures, idiomatic expressions, and cultural references. This rich dataset ensures the model is well-equipped to handle a variety of translation tasks within its domain.
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  ## Intended Use
 
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  # Model Card: nllb-3.3B-Turkish
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+ ## Version: Based on facebook/nllb-200-3.3B: Further pretrained on a large corpus of English-to-Turkish dataset.
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  The training dataset for nllb-3.3B-Turkish consists of approximately 490,000 pairs of translated texts. These pairs are predominantly sourced from movie subtitles, offering a diverse range of linguistic structures, idiomatic expressions, and cultural references. This rich dataset ensures the model is well-equipped to handle a variety of translation tasks within its domain.
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  ## Intended Use