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@@ -40,7 +40,7 @@ NOTE: model embeddings tend to extract features only after using standard batch
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  ### Direct Use
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- - Create biologically useful embeddings of microscopy images
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  - Create contextualized embeddings of each channel of a microscopy image (set `return_channelwise_embeddings=True`)
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  - Leverage the full MAE encoder + decoder to predict new channels / stains for images without all 6 CellPainting channels
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  ### Direct Use
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+ - Create biologically useful embeddings of microscopy images. We provide a [notebook](https://huggingface.co/recursionpharma/OpenPhenom/blob/main/RxRx3-core_inference.ipynb) for running inference on [RxRx3-core](https://huggingface.co/datasets/recursionpharma/rxrx3-core).
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  - Create contextualized embeddings of each channel of a microscopy image (set `return_channelwise_embeddings=True`)
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  - Leverage the full MAE encoder + decoder to predict new channels / stains for images without all 6 CellPainting channels
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