T5 (Text to Text Transfer Transformer) can be trained in multitask learning. In case we have such a model (suppose trained for Summarization (Summarize English[en])and translation task (translate English[en] to Deustch[de]). In that case, how should one prepare the model card that it would understand that the text given in the widget would be used for translation or summarization?
For a single task we do it something like this:
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language: French Spanish  
tags:
- translation French Spanish  model
datasets:
- dataset1 dataset2
widget:
- text: "some French text"
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