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LimiX-2 Tabular In-Context Learning

by stable-aico.huggingface.stable-ai/limix-2-tabular-demo

  • Remote endpoint
  • 6 tools
  • limix_2_tabular_demo__peek Load a CSV for the preview table and populate split defaults. 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
  • limix_2_tabular_demo__peek_1 Load a CSV for the preview table and populate split defaults. 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
  • limix_2_tabular_demo__peek_2 Load a CSV for the preview table and populate split defaults. 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
  • limix_2_tabular_demo_run_classification In-context classification with LimiX-2. 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: (metrics_markdown, predictions_dataframe, probability_dataframe)
  • limix_2_tabular_demo_run_imputation Missing-value imputation with LimiX-2. 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: (metrics_markdown, imputed_dataframe)
  • limix_2_tabular_demo_run_regression In-context regression with LimiX-2. 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: (metrics_markdown, predictions_dataframe)

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