Instructions to use RichXuOvO/GTMGC-Molecule3D-Random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RichXuOvO/GTMGC-Molecule3D-Random with Transformers:
# Load model directly from transformers import GTMGCForConformerPrediction model = GTMGCForConformerPrediction.from_pretrained("RichXuOvO/GTMGC-Molecule3D-Random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a04a0623ce11350f93863874948a87dc67c0b0f6261cdec84a60ae2ea650f89c
- Size of remote file:
- 39.3 MB
- SHA256:
- 74ac07f949f2844d0456c7a47894ad55b41ed23567fedb7fc2929caee5a96ff7
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