MachineHearing / Electromagnetic-RadSeg-Coding_Scheme-Classification /raw_input /RadarSeg_1265_test_sub_2.npy
Download Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1265_test_sub_2.npy from OpenTSLab/MachineHearing: direct link, hf CLI and curl.
- Browser
- Download file 1.36 kB
-
https://huggingface.co/datasets/OpenTSLab/MachineHearing/resolve/main/Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1265_test_sub_2.npy
- Command line
-
hf download hf://datasets/OpenTSLab/MachineHearing/Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1265_test_sub_2.npy
-
curl -L -o RadarSeg_1265_test_sub_2.npy https://huggingface.co/datasets/OpenTSLab/MachineHearing/resolve/main/Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1265_test_sub_2.npy
1.36 kB
- Xet hash:
- f1c9c9999dce7decd63e6ff99f3f5521dab1ecd8c5145d94efd7227e6ca914e5
- Size of remote file:
- 1.36 kB
- SHA256:
- 95f54b775e62b832f735c84c8270bac21c0c65ee35a41455cc2da02a57d879c7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.