MachineHearing / Electromagnetic-RadSeg-Coding_Scheme-Classification /raw_input /RadarSeg_1425_test_sub_6.npy
Download Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1425_test_sub_6.npy from OpenTSLab/MachineHearing: direct link, hf CLI and curl.
- Browser
- Download file 4.64 kB
-
https://huggingface.co/datasets/OpenTSLab/MachineHearing/resolve/main/Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1425_test_sub_6.npy
- Command line
-
hf download hf://datasets/OpenTSLab/MachineHearing/Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1425_test_sub_6.npy
-
curl -L -o RadarSeg_1425_test_sub_6.npy https://huggingface.co/datasets/OpenTSLab/MachineHearing/resolve/main/Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1425_test_sub_6.npy
4.64 kB
- Xet hash:
- 2991509adeae84fbec04a34e966cd10fd3928ab8f0d1efe6b50323cbac7f820a
- Size of remote file:
- 4.64 kB
- SHA256:
- 7b6f96782d93da09296631c5cf5e86513cc8c99d44c3c1cf35bd05da72767be7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.