The ZeroFolio framework replaces hand-crafted instance features with pretrained text embeddings to select algorithms. It uses a three-step pipeline of serialization, embedding, and weighted k-nearest neighbors. Tests across 11 ASlib scenarios show the method distinguishes problem instances without domain knowledge. This removes the need for task-specific training in algorithm selection.