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Morph inference runtime
This source snapshot accompanies the GEOM-Drugs explicit-H release and includes
the shared inference loader for the ChEMBL3D and GEOM-Drugs checkpoints published
in maltefranke/morph.
Install this directory with python -m pip install .. Python >=3.11 and a
compatible PyTorch 2.9 installation are required. Dependency constraints are in
pyproject.toml; requirements-tested.txt records the versions used to validate
the GEOM release.
from morph.inference import load_pretrained
model = load_pretrained("geom-explicit-h", epoch=50, device="cuda")
trajectories, validity, vocab, coordinate_std = model.generate(n_mols=16)
Use device="cpu" for CPU inference. Run morph models list to discover all
published model names and epochs. The loader fetches a checkpoint and its
matching configuration, vocabularies and distributions; no dataset is required.
See the model card for installation, sampling, hydrogen handling and checkpoint provenance.