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EXAONE Tabular

by lg-ai-researchco.huggingface.lg-ai-research/exaone-tabular-demo

  • Remote endpoint
  • 3 tools
  • exaone_tabular_demo__column_choices Populate the target-column dropdown from an uploaded CSV. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool
  • exaone_tabular_demo__preview Show the head of the uploaded CSV so users can see what they loaded. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool
  • exaone_tabular_demo_run_prediction Fit EXAONE Tabular in context on a CSV and predict its unlabeled rows. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool. Returns: A markdown report and a table of per-row predictions.

As the server's own listing gives them. We never call a tool.