Download annotations/vqa/v2_mscoco_train2014_annotations.json from ylsung/VL-Adapter-datasets: direct link, hf CLI and curl.
- Browser
- Download file 356 MB
-
https://huggingface.co/datasets/ylsung/VL-Adapter-datasets/resolve/main/annotations/vqa/v2_mscoco_train2014_annotations.json
- Command line
-
hf download hf://datasets/ylsung/VL-Adapter-datasets/annotations/vqa/v2_mscoco_train2014_annotations.json
-
curl -L -o v2_mscoco_train2014_annotations.json https://huggingface.co/datasets/ylsung/VL-Adapter-datasets/resolve/main/annotations/vqa/v2_mscoco_train2014_annotations.json
356 MB
- Xet hash:
- e167347a632b2063de46c0cfe4d1975403141d7b1446617d61a43840f2ad6e76
- Size of remote file:
- 356 MB
- SHA256:
- 770d2d3980e7838d6186082e0ddeddd804014c390ae45a592e996d6baf841d92
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.