MachineHearing / Electromagnetic-RadSeg-Coding_Scheme-Classification /raw_input /RadarSeg_1506_test_sub_3.npy
Download Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1506_test_sub_3.npy from OpenTSLab/MachineHearing: direct link, hf CLI and curl.
- Browser
- Download file 4.35 kB
-
https://huggingface.co/datasets/OpenTSLab/MachineHearing/resolve/main/Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1506_test_sub_3.npy
- Command line
-
hf download hf://datasets/OpenTSLab/MachineHearing/Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1506_test_sub_3.npy
-
curl -L -o RadarSeg_1506_test_sub_3.npy https://huggingface.co/datasets/OpenTSLab/MachineHearing/resolve/main/Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1506_test_sub_3.npy
4.35 kB
- Xet hash:
- 3911efb7f3ad17207b3082d1a94d878716b1b2bc09aea5f9d4b41b98a7778b8f
- Size of remote file:
- 4.35 kB
- SHA256:
- 25301d7e359a81c05187af95bdcfbcda81d0cb66cd0b2ca830eb3bd5e0af186a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.