Download models/face_landmark_nhwc/weights/conv2d_5_kernel.npy from webmachinelearning/test-data: direct link, hf CLI and curl.
- Browser
- Download file 295 kB
-
https://huggingface.co/webmachinelearning/test-data/resolve/main/models/face_landmark_nhwc/weights/conv2d_5_kernel.npy
- Command line
-
hf download hf://webmachinelearning/test-data/models/face_landmark_nhwc/weights/conv2d_5_kernel.npy
-
curl -L -o conv2d_5_kernel.npy https://huggingface.co/webmachinelearning/test-data/resolve/main/models/face_landmark_nhwc/weights/conv2d_5_kernel.npy
295 kB
- Xet hash:
- db08a85926331872400e65877c604a2d21fe1f2118f682d3b2a6c54184a7fa92
- Size of remote file:
- 295 kB
- SHA256:
- 1662e03fe5164255c5215c92c8ff5d49869bc164945483db5ecaff2090153c79
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.