Instructions to use ShubhamK32/diffusion_so101_declutter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use ShubhamK32/diffusion_so101_declutter 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 ShubhamK32/diffusion_so101_declutter: direct link, hf CLI and curl.
- Browser
- Download file 1.11 GB
-
https://huggingface.co/ShubhamK32/diffusion_so101_declutter/resolve/main/model.safetensors
- Command line
-
hf download hf://ShubhamK32/diffusion_so101_declutter/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/ShubhamK32/diffusion_so101_declutter/resolve/main/model.safetensors
1.11 GB
- Xet hash:
- 350749cac5fe2c9dc1e5563ca306c49138b95ecd205c4af530ec96ac2bffb046
- Size of remote file:
- 1.11 GB
- SHA256:
- 127f16bcb54f16c208160833825bc947c7b2304e12a9baadacba9457a7d3aac2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.