Honor contributors to models (#11329)
* Honor contributors to models * Fix typo * Address review comments * Add more authors
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@@ -42,7 +42,8 @@ Tips:
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- BERT was trained with the masked language modeling (MLM) and next sentence prediction (NSP) objectives. It is
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efficient at predicting masked tokens and at NLU in general, but is not optimal for text generation.
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The original code can be found `here <https://github.com/google-research/bert>`__.
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This model was contributed by `thomwolf <https://huggingface.co/thomwolf>`__. The original code can be found `here
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<https://github.com/google-research/bert>`__.
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BertConfig
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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