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:
- 8c8e4077791176fdd01243ee3d3cfd6926d7b1c3585559ea095ad31d3ee53bec
- Size of remote file:
- 2.48 GB
- SHA256:
- 136e99b1e2ad5146bce86c678ece2d49ec4e2ce172cacf3cd2a58dbb68e39577
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.