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Thanks, besides, during the generation process, I encounter a problem that "size mismatch for c_layers.4.layer.D: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1, 512])". How to solve it?
Sorry I missed this comment. I'm not sure why you got this error if using this repo at HEAD, because I checked that everything loaded. Note that, according to the README, you need to go to a specific checkpoints branch to load pre-trained models.
If you pasted in a later version of S4 then it's possible to get these errors because of small changes in the model. One could just load and modify the weights to resolve this.
Hello, thank you so much for your work, do we have conditional model checkpoint for SC)( currently?
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