Instructions to use WetLabRoboData/diffusion-septum-scratch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use WetLabRoboData/diffusion-septum-scratch with LeRobot:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download model.safetensors from WetLabRoboData/diffusion-septum-scratch: direct link, hf CLI and curl.
- Browser
- Download file 1.05 GB
-
https://huggingface.co/WetLabRoboData/diffusion-septum-scratch/resolve/main/model.safetensors
- Command line
-
hf download hf://WetLabRoboData/diffusion-septum-scratch/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/WetLabRoboData/diffusion-septum-scratch/resolve/main/model.safetensors
1.05 GB
- Xet hash:
- dde30a3f762d8afdb30daf3e20f34ef72ef6398f276f905179c69d65ce69ba3c
- Size of remote file:
- 1.05 GB
- SHA256:
- 1ea4c167559c6b2cccd2fbe8dae29b957215b1adb72f65c99167eec1b6a52d98
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.