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@@ -210,7 +210,8 @@ In this example, the model made 1 mistake with the word "sầu" (but predicted "
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  ## Limitations
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  - This model will accept a maximum of 512 tokens, which is a limitation inherited from the base pretrained XLM-Roberta model.
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- - It has a higher accuracy (97%) than <a href="https://vietnameseaccent.com/" target="_blank">the HMM version</a> (91%).
 
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  More info can be found <a href="https://peterhung.org/tech/insert-vietnamese-accent-transformer-model/#vs-hmm" target="_blank">here</a>.
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  ## Limitations
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  - This model will accept a maximum of 512 tokens, which is a limitation inherited from the base pretrained XLM-Roberta model.
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+ - It has a higher accuracy (97%) than <a href="https://vietnameseaccent.com/" target="_blank">the HMM version</a> (91%),
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+ but at the expense of a probably longer running time.
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  More info can be found <a href="https://peterhung.org/tech/insert-vietnamese-accent-transformer-model/#vs-hmm" target="_blank">here</a>.
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