Download run_scripts/blip2/train/train_function_reviewed.sh from wenkai/FAPM_demo: direct link, hf CLI and curl.
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https://huggingface.co/spaces/wenkai/FAPM_demo/resolve/main/run_scripts/blip2/train/train_function_reviewed.sh
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hf download hf://spaces/wenkai/FAPM_demo/run_scripts/blip2/train/train_function_reviewed.sh
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curl -L -o train_function_reviewed.sh https://huggingface.co/spaces/wenkai/FAPM_demo/resolve/main/run_scripts/blip2/train/train_function_reviewed.sh
468 Bytes
| #SBATCH -J finetune_function | |
| #SBATCH -p Jupyter | |
| #SBATCH -N 1 | |
| #SBATCH -w node[39] | |
| #SBATCH --mem 260G | |
| #SBATCH --gres=gpu:7 | |
| #SBATCH --mail-type=ALL | |
| #SBATCH --mail-user=icoxia@gmail.com | |
| #SBATCH --output=log.%j.out | |
| #SBATCH --error=log.%j.err | |
| #SBATCH --cpus-per-task=8 | |
| module load anaconda3/2021.05 | |
| source activate LAVIS | |
| python -m torch.distributed.run --nproc_per_node=7 train.py --cfg-path lavis/projects/blip2/train/reviewed_function_ft.yaml | |