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chore(lt): regenerate LTV3
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ibm_watson/language_translator_v3.py

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@@ -320,7 +320,7 @@ def create_model(self,
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cumulative file size of all uploaded files is limited to <b>250 MB</b>. To
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successfully train with a parallel corpus you must have at least <b>5,000 parallel
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sentences</b> in your corpus.
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You can have a <b>maxium of 10 custom models per language pair</b>.
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You can have a <b>maximum of 10 custom models per language pair</b>.
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:param str base_model_id: The model ID of the model to use as the base for
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customization. To see available models, use the `List models` method. Usually all

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