Instructions to use WetLabRoboData/diffusion-funnel-scratch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use WetLabRoboData/diffusion-funnel-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 policy_postprocessor_step_0_unnormalizer_processor.safetensors from WetLabRoboData/diffusion-funnel-scratch: direct link, hf CLI and curl.
- Browser
- Download file 7.71 kB
-
https://huggingface.co/WetLabRoboData/diffusion-funnel-scratch/resolve/main/policy_postprocessor_step_0_unnormalizer_processor.safetensors
- Command line
-
hf download hf://WetLabRoboData/diffusion-funnel-scratch/policy_postprocessor_step_0_unnormalizer_processor.safetensors
-
curl -L -o policy_postprocessor_step_0_unnormalizer_processor.safetensors https://huggingface.co/WetLabRoboData/diffusion-funnel-scratch/resolve/main/policy_postprocessor_step_0_unnormalizer_processor.safetensors
7.71 kB
- Xet hash:
- b6130fc97a3670d5f5a5856a4211101e62426540ba17918eb3b7ff40df634294
- Size of remote file:
- 7.71 kB
- SHA256:
- 5a022a2167ffd4bd1ce1ea1b39ecd7068bbb11dff0ee041472a9aa7af104084c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.