Download docs/assets/tutorials/attention-execution.json from gexinh/vlm-probe: direct link, hf CLI and curl.
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- Download file 3.12 kB
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https://huggingface.co/spaces/gexinh/vlm-probe/resolve/main/docs/assets/tutorials/attention-execution.json
- Command line
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hf download hf://spaces/gexinh/vlm-probe/docs/assets/tutorials/attention-execution.json
-
curl -L -o attention-execution.json https://huggingface.co/spaces/gexinh/vlm-probe/resolve/main/docs/assets/tutorials/attention-execution.json
3.12 kB
| { | |
| "scope": "Fresh model execution; no saved result replay. Illustrative examples, not a full benchmark.", | |
| "model": "google/vit-base-patch16-224", | |
| "weights_sha256": "1cea07110a4a47edc51420b2dda6f3b8b58e7256e8f44b4ea6aa9696162ccb5d", | |
| "note": "Previews use the same native pretrained weights and public raw COCO image as the complete examples. Local paths only avoid downloading the same checkpoint twice.", | |
| "raw_image": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/coco_sample.png", | |
| "raw_image_sha256": "cf6f3c4befa148732c7453e0de5afab00f682427435fead2d88b07a9615cdac2", | |
| "fixed_vit_target": { | |
| "id": 285, | |
| "label": "Egyptian cat" | |
| }, | |
| "integration_steps": 8, | |
| "image_alpha": 0.25, | |
| "heatmap_alpha": 1, | |
| "checks": [ | |
| { | |
| "script": "examples/tutorials/attention_image_methods.py", | |
| "exit_code": 0 | |
| }, | |
| { | |
| "script": "examples/tutorials/attention_profile.py", | |
| "exit_code": 0 | |
| }, | |
| { | |
| "script": "examples/tutorials/attention_rollout.py", | |
| "exit_code": 0 | |
| }, | |
| { | |
| "script": "examples/tutorials/attention_relevance.py", | |
| "exit_code": 0 | |
| }, | |
| { | |
| "script": "examples/tutorials/attention_reweight.py", | |
| "exit_code": 0 | |
| }, | |
| { | |
| "script": "examples/tutorials/attention_temperature.py", | |
| "exit_code": 0 | |
| }, | |
| { | |
| "script": "examples/tutorials/attention_chefer.py", | |
| "exit_code": 0 | |
| }, | |
| { | |
| "script": "examples/tutorials/attention_head_logits.py", | |
| "exit_code": 0 | |
| } | |
| ], | |
| "checkpoint_revision": "3f49326eb077187dfe1c2a2bb15fbd74e6ab91e3", | |
| "head_logit_preview": { | |
| "model": "HuggingFaceTB/SmolVLM-500M-Instruct", | |
| "prompt": "The capital of France is", | |
| "weights_sha256": "d05b567eeaf534e83d375551f068ed57b5f52d37c657197f644af5ef9db091a2" | |
| }, | |
| "notebooks": [ | |
| { | |
| "notebook": "demos/attention_comparison_demo.ipynb", | |
| "executed": true, | |
| "png_outputs": 2, | |
| "seconds": 16.23 | |
| }, | |
| { | |
| "notebook": "demos/vlm_attention_comparison_demo.ipynb", | |
| "executed": true, | |
| "png_outputs": 1, | |
| "seconds": 14.62 | |
| }, | |
| { | |
| "notebook": "demos/attention_knockout_demo.ipynb", | |
| "executed": true, | |
| "png_outputs": 1, | |
| "seconds": 12.46 | |
| } | |
| ], | |
| "previews": { | |
| "attention-maps.png": "1a4dc48c270c455e6755060c3228725ea25e8b8237f88fd5089719b95d048196", | |
| "attention-profile.png": "7eea381893e2cc3f3b0f5f025d0184b8b7f72e26f8c981051e538b59f8d3b5b7", | |
| "attention-rollout.png": "e68d8bcb2a01956c2874ceb05fa857216a7b624ad38c49bc7e30c5d1589cc437", | |
| "attention-relevance.png": "aab871e63c173d448a156002a0e1c61c733fb4ea8974a2aa1c4177faf8ad4a1b", | |
| "attention-reweight.png": "0df5b20fa1154752bd958828341c0c6dee8628562bbb21bb5a27f62db7861c82", | |
| "attention-temperature.png": "10505a25d38448db55e9980df19edb1248f2d8fe93abe7e98e06999f175240b9", | |
| "attention-chefer.png": "7b427c18a1185a5b4322a6d04bad213ebc53af6b2ef93b5b059515da77307c81", | |
| "attention-head-logits.png": "5b6cedf72e157c621475a67ed727a76b6eb608a0b6fd294563ece9691be7bce2" | |
| }, | |
| "environment_prefix": "VLM_PROBING_" | |
| } | |