Transformers
chemistry
materials
molecules
crystals
diffusion
transformer
latent-diffusion
all-atom
Eval Results (legacy)
Instructions to use chaitjo/all-atom-diffusion-transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chaitjo/all-atom-diffusion-transformer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("chaitjo/all-atom-diffusion-transformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 612a6aa14ba0f437f7c8a50a52ef30bf4e0546c09bd3bb4b86d4e211b0c14676
- Size of remote file:
- 7.41 MB
- SHA256:
- 51660f8c27578254a552a75d52dc2a4dd93e0aec96e350c0e7224831da31edc7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.