| export CUDA_VISIBLE_DEVICES=1 | |
| python -u generate.py \ | |
| --config /scratch/pranamlab/tong/pCoMol/configs/config_gfp.yaml \ | |
| --ckpt /scratch/pranamlab/tong/pCoMol/gfp/ckpt/GFP_EditFlows.ckpt \ | |
| --num_steps 32 \ | |
| --op_temperature 1 \ | |
| --token_temperature 1 \ | |
| --input 'MVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLTYGVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITLGMDELYK' | |
| # Selfies: | |
| # --ckpt /scratch/pranamlab/tong/cope/editflows/outputs/2025.11.05/011146/checkpoint/epoch0090-val29.90.ckpt \ | |
| # Smiles: | |
| # --ckpt /scratch/pranamlab/tong/cope/editflows/outputs/smiles_lr3e-4_epoch100_scale1.5_optimal0/checkpoint/epoch0098-val17.62.ckpt | |
Xet Storage Details
- Size:
- 768 Bytes
- Xet hash:
- bb5ae5d69387da997759b8c47734958e7e6d2bc7fd59b634ef8fa12e8cff5f91
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.