neulab
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omnitab-large-16shot-finetuned-wtq-16shot

Table Question Answering Transformers PyTorch

English bart text2text-generation tapex Inference Endpoints

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Zhengbao Jiang commited on Nov 29, 2022

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@@ -13,7 +13,7 @@ OmniTab is a table-based QA model proposed in [OmniTab: Pretraining with Natural
 ## Description
-`neulab/omnitab-large-16shot-finetuned-wtq-16shot` (based on BART architecture) is initialized with `microsoft/tapex-large`, continuously pretrained on natural and synthetic data (SQL2NL model trained in the 16-shot setting), and fine-tuned on [WikiTableQuestions](https://huggingface.co/datasets/wikitablequestions) in the 16-shot setting.
 ## Usage

 ## Description
+`neulab/omnitab-large-16shot-finetuned-wtq-16shot` (based on BART architecture) is initialized with `neulab/omnitab-large-16shot` and fine-tuned on [WikiTableQuestions](https://huggingface.co/datasets/wikitablequestions) in the 16-shot setting.
 ## Usage