Download Semantic/select_book_semantic/example21/input/input.png from VLyb/VLABench: direct link, hf CLI and curl.
- Browser
- Download file 670 kB
-
https://huggingface.co/datasets/VLyb/VLABench/resolve/main/Semantic/select_book_semantic/example21/input/input.png
- Command line
-
hf download hf://datasets/VLyb/VLABench/Semantic/select_book_semantic/example21/input/input.png
-
curl -L -o input.png https://huggingface.co/datasets/VLyb/VLABench/resolve/main/Semantic/select_book_semantic/example21/input/input.png
670 kB

- Xet hash:
- 8af973960d5c70a23b6df09c18fb8ffbe2050baf0fa20b4413788d82882493ea
- Size of remote file:
- 670 kB
- SHA256:
- 8548dc49e286d62b64731725fc8eafc7bf3f31367b7d536c304679a263e0d3df
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.