google/tapas-large-finetuned-tabfact

TAPAS is a BERT-like transformers model pretrained on a large corpus of English data from Wikipedia in a self-supervised fashion . The model was pre-trained on MLM and an additional step which the authors call intermediate pre-training, and then fine-tuned on TabFact . It uses relative position embeddings by default (i.e. resetting the position index at every cell of the table) The default version corresponds to the tapas_tabfact_inter_masklm_large_reset checkpoint of the original Github repository . The other (non-default) version which can be used is the one with absolute position embeddeddings:,