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  # Model card for `boldgpt_small_patch10.cont`
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  A Vision Transformer (ViT) model trained on BOLD activation maps from [NSD-Flat](https://huggingface.co/datasets/clane9/NSD-Flat). The training objective was to auto-regressively predict the next patch with shuffled patch order and MSE loss. This model was trained using `shared1000` as the held out validation set.
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  ## Dependencies
 
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  # Model card for `boldgpt_small_patch10.cont`
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+ ![Example training predictions](example.png)
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  A Vision Transformer (ViT) model trained on BOLD activation maps from [NSD-Flat](https://huggingface.co/datasets/clane9/NSD-Flat). The training objective was to auto-regressively predict the next patch with shuffled patch order and MSE loss. This model was trained using `shared1000` as the held out validation set.
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  ## Dependencies
example.png ADDED

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