Instructions to use alexandersoare/diffusion_pusht_keypoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexandersoare/diffusion_pusht_keypoints with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("alexandersoare/diffusion_pusht_keypoints", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c5ade68a3fe8e899c98b9a5273998c3d18bccd469e19220677bf834c8acf7e9
- Size of remote file:
- 995 MB
- SHA256:
- ae40aa87dd124ee1e4914258049f4eac676345a28e6cb8dfcfa67830cc3246b0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.