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@@ -106,4 +106,6 @@ Evaluation to come.
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  - To [deepset](https://huggingface.co/deepset) for the gbert-large, which is a really great model
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  - To [occiglot](https://huggingface.co/occiglot) and OSCAR for their data used to pre-train the model
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  - To [Tom](https://huggingface.co/tomaarsen), especially for sentence-transformers, [Björn and Jan from ellamind](https://ellamind.com/de/) for the consultation
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- - To [Meta](https://huggingface.co/facebook) for XNLI which is used in variations
 
 
 
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  - To [deepset](https://huggingface.co/deepset) for the gbert-large, which is a really great model
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  - To [occiglot](https://huggingface.co/occiglot) and OSCAR for their data used to pre-train the model
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  - To [Tom](https://huggingface.co/tomaarsen), especially for sentence-transformers, [Björn and Jan from ellamind](https://ellamind.com/de/) for the consultation
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+ - To [Meta](https://huggingface.co/facebook) for XNLI which is used in variations
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+
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+ Idea, Training and Implementation by Aaron Chibb