Fix URLs to TAPAS notebooks (#9435)
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@@ -265,7 +265,7 @@ conversational**. In case your dataset involves conversational questions (such a
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together the ``queries``, ``answer_coordinates`` and ``answer_text`` per table (in the order of their ``position``
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index) and batch encode each table with its questions. This will make sure that the ``prev_labels`` token types (see
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docs of :class:`~transformers.TapasTokenizer`) are set correctly. See `this notebook
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<https://github.com/NielsRogge/Transformers-Tutorials/blob/master/Fine_tuning_TapasForQuestionAnswering_on_SQA.ipynb>`__
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<https://github.com/NielsRogge/Transformers-Tutorials/blob/master/TAPAS/Fine_tuning_TapasForQuestionAnswering_on_SQA.ipynb>`__
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for more info.
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**STEP 4: Train (fine-tune) TapasForQuestionAnswering**
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@@ -382,7 +382,7 @@ of that:
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In case of a conversational set-up, then each table-question pair must be provided **sequentially** to the model, such
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that the ``prev_labels`` token types can be overwritten by the predicted ``labels`` of the previous table-question
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pair. Again, more info can be found in `this notebook
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<https://github.com/NielsRogge/Transformers-Tutorials/blob/master/Fine_tuning_TapasForQuestionAnswering_on_SQA.ipynb>`__.
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<https://github.com/NielsRogge/Transformers-Tutorials/blob/master/TAPAS/Fine_tuning_TapasForQuestionAnswering_on_SQA.ipynb>`__.
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Tapas specific outputs
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