Add the image extension's example and documentation - #398
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The example fits the Amazon Bestseller task of MulTaBench from the picture files' paths and a few tabular fields; the README describes the cell forms and the setup, and the extension is listed with the others. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
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Layer 4 of 4 in stack #402, on #400: what surrounds the image extension. #399 adds the
imageextra, #401 the encoder internals, #400 the transformer and estimator wrapper.What is in it
examples/image/tabpfn_with_images.pyfits the Amazon Bestseller task of MulTaBench, the log price of a best-selling product from its photo, rank, page and ratings, three ways: numeric fields only, picture only, both. It reports RMSE. UnderFAST_TEST_MODE=1it runs on a 300-row sample.examples/image/README.mdexplains the cell format, the gated encoder license and howTabPFNWithImagesis used.ImageTransformerandTabPFNWithImagesare exported from the package root, and one line each goes intoREADME.mdandexamples/README.md.tests/test_examples.pyregisters the example underREQUIRES_MODULE, so it skips unless kagglehub is installed by hand. The archive comes from Kaggle and the encoder's weights are gated on the Hugging Face Hub, so it cannot run in CI without an account on each side.馃 Generated with Claude Code