Instructions to use RichXuOvO/GTMGC_Base-Molecule3D-Random-Gap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RichXuOvO/GTMGC_Base-Molecule3D-Random-Gap with Transformers:
# Load model directly from transformers import GTMGCForGraphRegression model = GTMGCForGraphRegression.from_pretrained("RichXuOvO/GTMGC_Base-Molecule3D-Random-Gap", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a577fc7234ba51b4691db3db292b1fa66dbfd9a9a0e8b59f3657e15a798ec7a
- Size of remote file:
- 47.7 MB
- SHA256:
- 8edfa2af9236048b8dee04dfa553b5fceea0ccbb544a253d3a1ba98b1366126c
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