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@@ -90,7 +90,7 @@ organized by Hugging Face. We developped this model as part of the project:
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  Our model is intented to be used as a sentence and short paragraph encoder. Given an input text, it ouptuts a vector which captures
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  the semantic information. The sentence vector may be used for information retrieval, clustering or sentence similarity tasks.
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- By default, input text longer than 512 word pieces is truncated.
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  ## Training procedure
 
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  Our model is intented to be used as a sentence and short paragraph encoder. Given an input text, it ouptuts a vector which captures
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  the semantic information. The sentence vector may be used for information retrieval, clustering or sentence similarity tasks.
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+ By default, input text longer than 384 word pieces is truncated.
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  ## Training procedure