google/tapas-small

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 . It uses relative position embeddings by default (i.e. resetting the position index at every cell of the table). The other (non-default) version which can be used is the one with absolute position embeddeddings:.revision="no_reset", which corresponds to tapas_inter_masklm_small_reset . The training examples are created based on synthetic as well as counterfactual,