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@@ -46,7 +46,8 @@ The model is fine-tuned as a token classification problem where the text is labe
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  ## ✋ Intended uses & limitations
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  ### 🛑 Limitations
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- <!--* This keyphrase extraction model is very domain-specific and will perform very well on abstracts of scientific papers. It's not recommended to use this model for other domains, but you are free to test it out.-->
 
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  * Only works for English documents.
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  * For a custom model, please consult the training notebook for more information (link incoming).
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  ## ✋ Intended uses & limitations
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  ### 🛑 Limitations
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+ * This keyphrase extraction model is very domain-specific and will perform very well on news articles from NY Times. It's not recommended to use this model for other domains, but you are free to test it out.
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+ * Limited amount of predicted keyphrases.
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  * Only works for English documents.
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  * For a custom model, please consult the training notebook for more information (link incoming).
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