Download Simulation/GelSight_mini/roughness_classify/rough/37.hdf5 from FVL-Lab/OpenViTac: direct link, hf CLI and curl.
- Browser
- Download file 116 MB
-
https://huggingface.co/datasets/FVL-Lab/OpenViTac/resolve/main/Simulation/GelSight_mini/roughness_classify/rough/37.hdf5
- Command line
-
hf download hf://datasets/FVL-Lab/OpenViTac/Simulation/GelSight_mini/roughness_classify/rough/37.hdf5
-
curl -L -o 37.hdf5 https://huggingface.co/datasets/FVL-Lab/OpenViTac/resolve/main/Simulation/GelSight_mini/roughness_classify/rough/37.hdf5
116 MB
- Xet hash:
- e8a0d35251f8c24e5376779f25ed5b7c0bec89053812b02e4607a8802ce52d8a
- Size of remote file:
- 116 MB
- SHA256:
- 6a54bc48ddd1862da1f094f514fbb259b19f6bbad5a15d5b0d3b3f5efdcc7733
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.