MachineHearing / Electromagnetic-RadSeg-Coding_Scheme-Classification /raw_input /RadarSeg_1248_test_sub_7.npy
Download Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1248_test_sub_7.npy from OpenTSLab/MachineHearing: direct link, hf CLI and curl.
- Browser
- Download file 4.5 kB
-
https://huggingface.co/datasets/OpenTSLab/MachineHearing/resolve/main/Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1248_test_sub_7.npy
- Command line
-
hf download hf://datasets/OpenTSLab/MachineHearing/Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1248_test_sub_7.npy
-
curl -L -o RadarSeg_1248_test_sub_7.npy https://huggingface.co/datasets/OpenTSLab/MachineHearing/resolve/main/Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1248_test_sub_7.npy
4.5 kB
- Xet hash:
- 1c16cf2593817f62a189335bd9fbc4efdca53385ef256ac1f2438574cc139b12
- Size of remote file:
- 4.5 kB
- SHA256:
- bff36c99b65e130d354f611230c55bc28494ec78f024af45b3efbc94af44b82a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.