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".
About us
deepset is the company behind the production-ready open-source AI framework Haystack.
Some of our other work:
- Distilled roberta-base-squad2 (aka "tinyroberta-squad2")
- German BERT, GermanQuAD and GermanDPR, German embedding model
- deepset Cloud, deepset Studio
Get in touch and join the Haystack community
For more info on Haystack, visit our GitHub repo and Documentation.
We also have a Discord community open to everyone!
Twitter | LinkedIn | Discord | GitHub Discussions | Website | YouTube
By the way: we're hiring!
- Downloads last month
- 195