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End-to-end neural table-text understanding models.

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kamalkraj/TAPAS-TF2

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Models TF2

Downloadtapas_sqa_masklm_base_reset_tf2

Deploy and inference on model using Gradio

python app.py --model_path=tapas_sqa_masklm_base_reset_tf2 --task=SQA

gradio

Convert weights

python converter.py --model_path=tapas_wtq_wikisql_sqa_masklm_medium_reset --do_reset --save_path=tapas_wtq_wikisql_sqa_masklm_medium_reset_tf2 --task=WTQ
  --[no]do_reset: Select model type for weight conversion.    Reset refers to whether the parameter `reset_position_index_per_cell`was set to true or false during training.In general it's recommended to set it    to true    (default: 'true')  --model_path: model_path for download models  --save_path: save_path for saving converted weights  --task: <SQA|WTQ|WIKISQL>: task for converison    (default: 'SQA')

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