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@@ -15,24 +15,6 @@ pipeline_tag: text2text-generation
-# Language Adaption of mT0
-This model is an adaption of the mT0 variant (see below) for languages en, de based on the methodology in [Load What You Need: Smaller Versions of Multilingual BERT](https://arxiv.org/ftp/arxiv/papers/2010/2010.05609.pdf).
-The vocabulary has been adjusted to contain the top 2000 tokens overall as well as
-  - the top 15000 tokens from en
-  - the top 30000 tokens from de
- and 100 special tokens.
-The new vocabulary has been computed using
-  - deu_news_2023_1M for de
-  - eng_news_2023_1M for en
- from the [Leipzig language corpora collection](https://wortschatz.uni-leipzig.de/en/download/).
-According to the mentioned article the perfarmance degradation can be expected to be small (but no evaluation was done).
 # Language Adaption of mT0
 This model is an adaption of the mT0 variant (see below) for languages en, de based on the methodology in [Load What You Need: Smaller Versions of Multilingual BERT](https://arxiv.org/ftp/arxiv/papers/2010/2010.05609.pdf).


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18	# Language Adaption of mT0
19	This model is an adaption of the mT0 variant (see below) for languages en, de based on the methodology in [Load What You Need: Smaller Versions of Multilingual BERT](https://arxiv.org/ftp/arxiv/papers/2010/2010.05609.pdf).
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