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@@ -8,9 +8,9 @@ license: apache-2.0
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  This model contains the converted PyTorch checkpoint of the original Tensorflow model available in the [TaPas repository](https://github.com/google-research/tapas/blob/master/DENSE_TABLE_RETRIEVER.md#reader-models).
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  It is described in Herzig et al.'s (2021) [paper](https://aclanthology.org/2021.naacl-main.43/) _Open Domain Question Answering over Tables via Dense Retrieval_.
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- This model has 2 versions which can be used differing only in the table scoring head.
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  The default one has an adapted table scoring head in order to be able to generate probabilities out of the logits.
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- The other (non-default) version corredponds to the original checkpoint from the TaPas repository and can be accessed setting `revision="original"`.
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  # Usage
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  ## In Haystack
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  This model contains the converted PyTorch checkpoint of the original Tensorflow model available in the [TaPas repository](https://github.com/google-research/tapas/blob/master/DENSE_TABLE_RETRIEVER.md#reader-models).
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  It is described in Herzig et al.'s (2021) [paper](https://aclanthology.org/2021.naacl-main.43/) _Open Domain Question Answering over Tables via Dense Retrieval_.
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+ This model has 2 versions that can be used differing only in the table scoring head.
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  The default one has an adapted table scoring head in order to be able to generate probabilities out of the logits.
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+ The other (non-default) version corresponds to the original checkpoint from the TaPas repository and can be accessed by setting `revision="original"`.
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  # Usage
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  ## In Haystack