Buckets:
8.47 GB
6 files
Updated 2 months ago
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| Name | Size | Uploaded | Xet hash |
|---|---|---|---|
| .gitattributes | 1.52 kB xet | 818ba6de | |
| README.md | 2.52 kB xet | e2022e79 | |
| SurgMotion-vitg-xformer.pt | 4.05 GB xet | 0b770e06 | |
| SurgMotion-vitg-xformer.safetensors | 4.05 GB xet | dd247ac5 | |
| SurgMotion_vitg_probing-head_cholec80.pt | 373 MB xet | fd76c2b6 | |
| config.json | 341 Bytes xet | 07f77f65 |
SurgMotion-G
SurgMotion-G is the ViT-Giant-xformer checkpoint of SurgMotion, a video-native foundation model for universal understanding of surgical videos.
This repository contains a single released checkpoint so that the model is structured as a standard single-model Hugging Face repository.
Files
config.json: minimal repository config for Hub compatibilitySurgMotion-vitg-xformer.safetensors: recommended weights in safetensors formatSurgMotion-vitg-xformer.pt: original released PyTorch checkpoint retained for compatibility
Download
Download the repository config and safetensors checkpoint with huggingface_hub:
from huggingface_hub import hf_hub_download
config_path = hf_hub_download(
repo_id="CAIR-HKISI/SurgMotion-vitg-xformer",
filename="config.json",
)
weights_path = hf_hub_download(
repo_id="CAIR-HKISI/SurgMotion-vitg-xformer",
filename="SurgMotion-vitg-xformer.safetensors",
)
If your existing code expects the original PyTorch checkpoint format, keep using SurgMotion-vitg-xformer.pt.
Project Links
- Project page: https://surgmotion.cares-copilot.com/
- Paper: https://arxiv.org/abs/2602.05638
- Code: https://github.com/CAIR-HKISI/SurgMotion
- Full model collection: https://huggingface.co/CAIR-HKISI/SurgMotion
- Total size
- 8.47 GB
- Files
- 6
- Last updated
- Aug 14
- Pre-warmed CDN
- US EU US EU