google/tapas-large-finetuned-wtq

The model is a BERT-like transformers model pretrained on a large corpus of English data from Wikipedia in a self-supervised fashion . It was pre-trained on MLM and an additional step which the authors call intermediate pre-training, and then fine-tuned in a chain on SQA, WikiSQL and finally WTQ . The team releasing TAPAS did not write a model card for this model so this model card has been written by the Hugging Face team and contributors . It allows the model to learn a bidirectional representation of a table and associated text . The model learns an inner representation of the English language used in tables and associated texts .,