Download Spatial/select_book_spatial/example39/input/input.png from VLyb/VLABench: direct link, hf CLI and curl.
- Browser
- Download file 655 kB
-
https://huggingface.co/datasets/VLyb/VLABench/resolve/main/Spatial/select_book_spatial/example39/input/input.png
- Command line
-
hf download hf://datasets/VLyb/VLABench/Spatial/select_book_spatial/example39/input/input.png
-
curl -L -o input.png https://huggingface.co/datasets/VLyb/VLABench/resolve/main/Spatial/select_book_spatial/example39/input/input.png
655 kB

- Xet hash:
- 932c631919e62ccd5b94b6ad10191b29280db19dd10fcce5cb3a73f52e2253c2
- Size of remote file:
- 655 kB
- SHA256:
- 8479130d5297c55ca4aa0e6a63455bec9d856ee14d7a9c0cea60efe56a153953
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.