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When should the model be saved, and how should it be implemented? I use torch.save(self.unet.state_dict(), f"{self.savepath}unet_checkpoint_{timestamp}_epoch_{epoch}.pth") and torch.save(self.diffusion.state_dict(), f"{self.savepath}diffusion_checkpoint_{timestamp}_epoch_{epoch}.pth") to separately store the weights of the unet and diffusion models....

02_diffusion_for_audio.ipynb encounters an error when running

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/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:72: UserWarning: The secret `HF_TOKEN` does not exist in your Colab secrets. To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as...

How should I go about guiding a diffusion model? Thanks in advance. https://github.com/lucidrains/denoising-diffusion-pytorch