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Update README

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  1. README.md +1 -3
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@@ -19,7 +19,7 @@ The other (non-default) version which can be used is:
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  Disclaimer: The team releasing TAPAS did not write a model card for this model so this model card has been written by
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  the Hugging Face team and contributors.
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- # Results on SQA - Dev Accuracy
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  Size | Reset | Dev Accuracy | Link
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  -------- | --------| -------- | ----
@@ -38,8 +38,6 @@ TINY | reset | 0.2375 | [tapas-tiny-finetuned-sqa](https://huggingface.co/google
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  ## Model description
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- ## Model description
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-
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  TAPAS is a BERT-like transformers model pretrained on a large corpus of English data from Wikipedia in a self-supervised fashion.
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  This means it was pretrained on the raw tables and associated texts only, with no humans labelling them in any way (which is why it
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  can use lots of publicly available data) with an automatic process to generate inputs and labels from those texts. More precisely, it
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  Disclaimer: The team releasing TAPAS did not write a model card for this model so this model card has been written by
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  the Hugging Face team and contributors.
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+ ## Results on SQA - Dev Accuracy
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  Size | Reset | Dev Accuracy | Link
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  -------- | --------| -------- | ----
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  ## Model description
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  TAPAS is a BERT-like transformers model pretrained on a large corpus of English data from Wikipedia in a self-supervised fashion.
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  This means it was pretrained on the raw tables and associated texts only, with no humans labelling them in any way (which is why it
43
  can use lots of publicly available data) with an automatic process to generate inputs and labels from those texts. More precisely, it