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@@ -61,11 +61,11 @@ This model accepts as input lower-cased, unpunctuated, unsegmented text in 47 la
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  All languages are processed with the same algorithm with no need for language tags or language-specific branches in the graph.
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  This includes continuous-script and non-continuous script languages, predicting language-specific punctuation, etc.
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- This model is fun to play with, but the results could be better.
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- It will be trained longer in the near future.
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- For a better English model, see [here](https://huggingface.co/1-800-BAD-CODE/punctuation_fullstop_truecase_english).
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- For a better Romance language model, see [here](https://huggingface.co/1-800-BAD-CODE/punctuation_fullstop_truecase_romance).
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  # Usage
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  The easy way to use this model is to install `punctuators`:
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  All languages are processed with the same algorithm with no need for language tags or language-specific branches in the graph.
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  This includes continuous-script and non-continuous script languages, predicting language-specific punctuation, etc.
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+ This model is fun to play with, but the results could be better. I would recommend these newer, better models:
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+ * [Better English model](https://huggingface.co/1-800-BAD-CODE/punctuation_fullstop_truecase_english)
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+ * [Better Romance languages model](https://huggingface.co/1-800-BAD-CODE/punctuation_fullstop_truecase_romance)
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+ * [Better 47-language](https://huggingface.co/1-800-BAD-CODE/xlm-roberta_punctuation_fullstop_truecase)
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+
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  # Usage
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  The easy way to use this model is to install `punctuators`:
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