+Add `TabPFNRegressor.fit_with_differentiable_input(X, y)` so gradients can flow from a downstream loss back through the regressor into upstream torch modules feeding `X` (and `y`, when it carries grads). Mirrors the existing classifier-side path — previously `TabPFNRegressor.fit` raised `ValueError("Differentiable input is not supported for regressors yet.")` and there was no differentiable counterpart.
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