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Is it possible to provide the checkpoint (including the optimizer state) from the model's pre-training process, or to obtain the optimizer state at the end of the model's pre-training?
Is it possible to provide the checkpoint (including the optimizer state) from the model's pre-training process, or to obtain the optimizer state at the end of the model's pre-training?