bogdankostic
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Add adapted model
Browse files- README.md +4 -0
- pytorch_model.bin +2 -2
README.md
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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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# 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 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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pytorch_model.bin
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