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quickmt-tr-en

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  ## Model Information
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  * Trained using [`eole`](https://github.com/eole-nlp/eole)
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- * 185M parameter transformer 'big' with 8 encoder layers and 2 decoder layers
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  * 50k joint Sentencepiece vocabulary
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  * Expested for fast inference to [CTranslate2](https://github.com/OpenNMT/CTranslate2) format
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  * Training data: https://huggingface.co/datasets/quickmt/quickmt-train.tr-en/tree/main
 
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  ## Model Information
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  * Trained using [`eole`](https://github.com/eole-nlp/eole)
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+ * 195M parameter transformer 'big' with 8 encoder layers and 2 decoder layers
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  * 50k joint Sentencepiece vocabulary
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  * Expested for fast inference to [CTranslate2](https://github.com/OpenNMT/CTranslate2) format
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  * Training data: https://huggingface.co/datasets/quickmt/quickmt-train.tr-en/tree/main