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  ## Overview
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  This is the PyTorch implementation of the CI-FM model -- an AI model that can simulate the biological activities within a living tissue (AI virtual tissue).
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- The current version of CI-FM has 138M parameters (current version) and is trained on around 23M cells of spatial genomics. The signature functions of CI-FM are:
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  - **Embedding** of celllular microenvironments via ```embeddings = model.embed(adata)``` (Figure below panel D top);
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  - **Inference** of cellular gene expressions within a certain microenvironment via ```expressions = model.predict_cells_at_locations(adata, rand_loc)``` (Figure below panel D bottom).
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  ## Overview
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  This is the PyTorch implementation of the CI-FM model -- an AI model that can simulate the biological activities within a living tissue (AI virtual tissue).
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+ The current version of CI-FM has 138M parameters and is trained on around 23M cells of spatial genomics. The signature functions of CI-FM are:
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  - **Embedding** of celllular microenvironments via ```embeddings = model.embed(adata)``` (Figure below panel D top);
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  - **Inference** of cellular gene expressions within a certain microenvironment via ```expressions = model.predict_cells_at_locations(adata, rand_loc)``` (Figure below panel D bottom).
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