google
/

tapas-large-finetuned-sqa

Table Question Answering

Inference Endpoints

Model card Files Files and versions Community

nielsr HF staff commited on Dec 16, 2020

Commit

8fdf8f9

•

1 Parent(s): 13ad914

Fix typo

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -8,7 +8,7 @@ datasets:
 - msr_sqa
 ---
-# TAPAS base model fine-tuned on Sequential Question Answering (SQA)
 This model has 2 versions which can be used. The default version corresponds to the `tapas_sqa_inter_masklm_large_reset` checkpoint of the [original Github repository](https://github.com/google-research/tapas).
 This model was pre-trained on MLM and an additional step which the authors call intermediate pre-training, and then fine-tuned on [SQA](https://www.microsoft.com/en-us/download/details.aspx?id=54253). It uses relative position embeddings (i.e. resetting the position index at every cell of the table).

 - msr_sqa
 ---
+# TAPAS large model fine-tuned on Sequential Question Answering (SQA)
 This model has 2 versions which can be used. The default version corresponds to the `tapas_sqa_inter_masklm_large_reset` checkpoint of the [original Github repository](https://github.com/google-research/tapas).
 This model was pre-trained on MLM and an additional step which the authors call intermediate pre-training, and then fine-tuned on [SQA](https://www.microsoft.com/en-us/download/details.aspx?id=54253). It uses relative position embeddings (i.e. resetting the position index at every cell of the table).