google/tapas-small-finetuned-sqa

The model was pre-trained on MLM and an additional step which the authors call intermediate pre-training, and then fine-tuned on SQA . It uses relative position embeddings (i.e. resetting the position index at every cell of the table) The default version corresponds to the tapas_sqa_inter_masklm_small_reset checkpoint of the original Github repository . The other (non-default) version which can be used is:  tapas_Sqa_no_reset (intermediate pre- training, absolute position embeddeddings) The team releasing TAPAS did not write a model card for this model so this,