Doc styling (#8067)
* Important files * Styling them all * Revert "Styling them all" This reverts commit 7d029395fdae8513b8281cbc2a6c239f8093503e. * Syling them for realsies * Fix syntax error * Fix benchmark_utils * More fixes * Fix modeling auto and script * Remove new line * Fixes * More fixes * Fix more files * Style * Add FSMT * More fixes * More fixes * More fixes * More fixes * Fixes * More fixes * More fixes * Last fixes * Make sphinx happy
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@@ -29,10 +29,10 @@ The Authors' code can be found `here <https://github.com/pytorch/fairseq/tree/ma
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Implementation Notes
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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- Bart doesn't use :obj:`token_type_ids` for sequence classification. Use :class:`~transformers.BartTokenizer`
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or :meth:`~transformers.BartTokenizer.encode` to get the proper splitting.
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- Bart doesn't use :obj:`token_type_ids` for sequence classification. Use :class:`~transformers.BartTokenizer` or
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:meth:`~transformers.BartTokenizer.encode` to get the proper splitting.
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- The forward pass of :class:`~transformers.BartModel` will create decoder inputs (using the helper function
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:func:`transformers.modeling_bart._prepare_bart_decoder_inputs`) if they are not passed. This is different than some
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:func:`transformers.modeling_bart._prepare_bart_decoder_inputs`) if they are not passed. This is different than some
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other modeling APIs.
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- Model predictions are intended to be identical to the original implementation. This only works, however, if the
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string you pass to :func:`fairseq.encode` starts with a space.
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