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+ ---
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+ language:
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+ - de
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+ - en
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+ pipeline_tag: translation
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+ datasets:
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+ - wmt14
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+ ---
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+
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+ # byt5-large-wmt14-deen
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+
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+ This model is released as part of the work from [Are Character-level Translations Worth the Wait? Comparing Character- and Subword-level Models for Machine Translation](https://arxiv.org/abs/2302.14220).
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+ It is a ByT5 model finetuned on German-->English translation the WMT14 dataset.
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+
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+ To use the model correctly, you must prepend the prompt with "translate X to Y: ", where X and Y are your source and target languages (e.g. German, English).
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+ NOTE: The decoder_start_token_id is 259 for byt5 models and 250099 for mt5 models, which is different from the default token from google's byt5 and mt5 models (which is 0).