Sparsh is a series of general tactile representations trained through self-supervised algorithms such as MAE, DINO, and JEPA. It can generate useful representations for DIGIT, Gelsight'17, and Gelsight Mini, significantly outperforming end-to-end models on downstream tasks proposed by TacBench while supporting data-efficient training for new downstream tasks. The Sparsh project includes PyTorch implementations, pre-trained models, and datasets released alongside Sparsh.