cell-imaging/openphenom

Overview

Channel-agnostic image encoding model CA-MAE with a ViT-S/16 encoder backbone designed for microscopy image featurization. The model uses a vision transformer backbone with channelwise cross-attention over patch tokens to create contextualized representations separately for each

Test this model

Not servable. No inference endpoint is declared for this model, so there is nothing to call — no button here and no API route for it. What makes a model servable

Training data

• DATASETcell-imaging/rxrx3-core