 TAPEX-large model fine-tuned on WTQ. This model was proposed in [TAPEX: Table Pre-training via Learning a Neural SQL Executor](https://arxiv.org/abs/2107.07653) by Qian Liu, Bei Chen, Jiaqi Guo, Morteza Ziyadi, Zeqi Lin, Weizhu Chen, Jian-Guang Lou. Original repo can be found [here](https://github.com/microsoft/Table-Pretraining).  To load it and run inference, you can do the following:  ``` from transformers import BartTokenizer, BartForSequenceClassification import pandas as pd  tokenizer = BartTokenizer.from_pretrained("nielsr/tapex-large-finetuned-tabfact") model = BartForSequenceClassification.from_pretrained("nielsr/tapex-large-finetuned-tabfact")  