This model contains the converted PyTorch checkpoint of the original Tensorflow model available in the
TaPas repository
.
It is described in Herzig et al.'s (2021)
paper
Open Domain Question Answering over Tables via Dense Retrieval
.
This model has 2 versions which can be used differing only in the table scoring head.
The default one has an adapted table scoring head in order to be able to generate probabilities out of the logits.
The other (non-default) version corredponds to the original checkpoint from the TaPas repository and can be accessed setting
revision="original"
.
Usage
In Haystack
If you want to use this model for question-answering over tables, you can load it in
Haystack
:
from haystack.nodes import TableReader
table_reader = TableReader(model_name_or_path="deepset/tapas-large-nq-reader")
Runs of deepset tapas-large-nq-reader on huggingface.co
21
Total runs
0
24-hour runs
1
3-day runs
2
7-day runs
-185
30-day runs
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