pied
--resume_from_checkpoint="checkpoint-1500"

Finetuning
	
You’re ready to launch the training script now! Specify the dataset name to finetune on with the --dataset_name argument and then save it to the path in --output_dir.
💡 A full training run takes 2 hours on 4xV100 GPUs.
For example, to finetune on the Oxford Flowers dataset:


	Copied
accelerate launch train_unconditional.py \
  --dataset_name="huggan/flowers-102-categories" \
  --res