# Weakly Supervised Pre-training

TAPAS is a BERT-based Transformer model specifically designed for processing tabular data. It is pre-trained on English Wikipedia tables through self-supervised learning and fine-tuned on the TabFact dataset to verify whether a sentence is supported or refuted by table content.

TAPAS is a BERT-based Transformer model specifically designed for table question answering tasks. It is pre-trained in a self-supervised manner on English Wikipedia table data and supports weakly supervised table parsing.

TAPAS is a Transformer-based table question answering model, pre-trained on Wikipedia table data through self-supervised learning and fine-tuned on datasets like WTQ.