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--- |
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language: en |
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tags: |
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- tapas |
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license: apache-2.0 |
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--- |
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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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If you want to use this model for question-answering over tables, you can load it in [Haystack](https://github.com/deepset-ai/haystack/): |
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```python |
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from haystack.nodes import TableReader |
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table_reader = TableReader(model_name_or_path="deepset/tapas-large-nq-reader") |
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``` |
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