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7:03
YouTube
Aladdin Persson
How to save and load models in Pytorch
Let's say you have a model that is working but now you want to be able to save a checkpoint and load it to continue training at a later point. In this video I walkthrough an example of how to do it! ️ Support the channel ️ https://www.youtube.com/channel/UCkzW5JSFwvKRjXABI-UTAkQ/join Paid Courses I recommend for learning (affiliate links ...
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There are two ways to save and load models with FSDP. The 5th FSDP tutorial goes through a notebook with one method — full_state_dict. This is a unique model-saving process that puts together models up to 20B and optimizers on the rank 0 CPU memory. We’ll walk you through each step of the process. If you’re familiar with loading models via regular PyTorch, you’ll recognize the similarities it shares with loading models with FSDP. With the fullstate_save_policy, you can alter offload to CPU for C
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