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Update README.md

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@@ -42,6 +42,9 @@ This model predicts the following punctuation per input subtoken:
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  Though rare in these languages (relative to English), the special token `ACRONYM` allows fully punctuating tokens such as "`pm`" → "`p.m.`".
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  # Usage
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  The model is released as a `SentencePiece` tokenizer and an `ONNX` graph.
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  Though rare in these languages (relative to English), the special token `ACRONYM` allows fully punctuating tokens such as "`pm`" → "`p.m.`".
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+ **Widget notes** If you use the widget, it'll take a minute to load the model since a "generic" library is used.
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+ Further, the widget does not respect multi-line output, so fullstop predictions are annotated with "\n".
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  # Usage
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  The model is released as a `SentencePiece` tokenizer and an `ONNX` graph.
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