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@@ -28,7 +28,7 @@ It achieves the following results on the evaluation set:
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  Trained on a summarization task with _potentially_ multiple doc-summary pairs stacked on top of each other.
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- You can separate it's predictions by using it's special token `[NEXT_CONCEPT]` to split the output into "separate topics".
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  ## Intended use & limitations
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  Trained on a summarization task with _potentially_ multiple doc-summary pairs stacked on top of each other.
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+ You can separate its predictions by using it's special token `[NEXT_CONCEPT]` to split the output into "separate topics".
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  ## Intended use & limitations
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