Update all references to canonical models (#29001)
* Script & Manual edition * Update
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@@ -586,7 +586,7 @@ model = next(iter(list_models(filter=task, sort="downloads", direction=-1)))
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print(model.id)
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```
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For the task `text-classification`, this returns `'facebook/bart-large-mnli'`, for `translation` it returns `'t5-base`.
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For the task `text-classification`, this returns `'facebook/bart-large-mnli'`, for `translation` it returns `'google-t5/t5-base`.
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How do we convert this to a tool that the agent can leverage? All tools depend on the superclass `Tool` that holds the
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main attributes necessary. We'll create a class that inherits from it:
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