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@@ -19,7 +19,7 @@ This is a pruned version of [openai/whisper-base](https://huggingface.co/openai/
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  Pruning was made without any fine-tuning. Method from [this post](https://medium.com/m/global-identity-2?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fhow-to-adapt-a-multilingual-t5-model-for-a-single-language-b9f94f3d9c90) was used.
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  ## Size
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- Only 10% tokens was left including special whisper tokens (no language tokens except |<ru>| and |<en>|, no timestamp tokens), 200 most popular tokens from tokenizer and 4000 most popular Russian tokens computed by tokenization of russian text corpus.
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  Model size is 30% less then original whisper-base:
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  | | openai/whisper-base | waveletdeboshir/whisper-base-ru-pruned |
 
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  Pruning was made without any fine-tuning. Method from [this post](https://medium.com/m/global-identity-2?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fhow-to-adapt-a-multilingual-t5-model-for-a-single-language-b9f94f3d9c90) was used.
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  ## Size
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+ Only 10% tokens was left including special whisper tokens (no language tokens except \<|ru|\> and \<|en|\>, no timestamp tokens), 200 most popular tokens from tokenizer and 4000 most popular Russian tokens computed by tokenization of russian text corpus.
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  Model size is 30% less then original whisper-base:
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  | | openai/whisper-base | waveletdeboshir/whisper-base-ru-pruned |