Datasets:
Download 00_Data_Collection/User_6/099a044f-36d9-49e1-a064-9dc76e174367.vrs from FraunhoferIPK/IndEgo: direct link, hf CLI and curl.
- Browser
- Download file 1.39 GB
-
https://huggingface.co/datasets/FraunhoferIPK/IndEgo/resolve/main/00_Data_Collection/User_6/099a044f-36d9-49e1-a064-9dc76e174367.vrs
- Command line
-
hf download hf://datasets/FraunhoferIPK/IndEgo/00_Data_Collection/User_6/099a044f-36d9-49e1-a064-9dc76e174367.vrs
-
curl -L -o 099a044f-36d9-49e1-a064-9dc76e174367.vrs https://huggingface.co/datasets/FraunhoferIPK/IndEgo/resolve/main/00_Data_Collection/User_6/099a044f-36d9-49e1-a064-9dc76e174367.vrs
1.39 GB
- Xet hash:
- e759e2de431387fb15fbc6dcab599b6be1ded9d5de7f63d1234ea5d737e15a4f
- Size of remote file:
- 1.39 GB
- SHA256:
- d15a7d574819bf6254c11c4ea914fe26279baef11a3fc6f80d0e4f9fef2d0ddf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.