fairchem-core is the core package of the FAIR Chemistry library, providing machine learning models (e.g., GemNet-OC, DimeNet++) for chemistry and materials science. Version 2.19.0 supports Python 3.11 to 3.13. The library is actively maintained and released every few months.
pip install fairchem-coreNo compatibility data collected yet for this library.
Verified import paths — ran on the pinned version, not inferred.
Minimal example: load OC20 S2EF dataset, create a model, and run a forward pass.
Update imports to use `fairchem.core` instead of `fairchem`.
Install PyTorch with CUDA: `pip install torch --index-url https://download.pytorch.org/whl/cu118`
Use `OC20Dataset` with `task='oc22'` if available.
No dependency data recorded yet.