
from asb-skill-collections14
Load pretrained PyTorch model checkpoints to rank candidate molecules or score spectra in metabolomics without retraining.
This skill enables an agent to perform frozen inference using pretrained neural network weights. It is specifically tailored for scientific use cases like ranking candidate molecules using JESTR weights for the NPLIB1 dataset.
Use this skill when you have a .pt or .pth PyTorch checkpoint and need to apply it to a target dataset for scoring or ranking without modifying the model parameters.
Suitable for scientific AI agents operating in GPU-enabled environments (Linux/CUDA) that can run Python scripts and manage conda environments.
This skill has not been reviewed by our automated audit pipeline yet.