Buckets:
| license: apache-2.0 | |
| library_name: pytorch | |
| pipeline_tag: video-classification | |
| pretty_name: SurgMotion | |
| gated: true | |
| extra_gated_heading: "SurgMotion Access Agreement" | |
| extra_gated_description: "Access to SurgMotion is provided under the same license as the GitHub repository: Apache License 2.0. Please review the license at https://github.com/CAIR-HKISI/SurgMotion/blob/main/LICENSE and provide your institution information before requesting access." | |
| extra_gated_button_content: "Agree and request access" | |
| extra_gated_fields: | |
| Institution / Organization: text | |
| Department / Lab: text | |
| Position / Role: | |
| type: select | |
| options: | |
| - Student | |
| - Researcher | |
| - Faculty | |
| - Clinician | |
| - Engineer | |
| - Other | |
| Country / Region: country | |
| Intended use: | |
| type: select | |
| options: | |
| - Academic research | |
| - Education | |
| - Clinical research | |
| - Benchmarking | |
| - Other | |
| Project description: text | |
| I have read and agree to the Apache License Version 2 terms for SurgMotion: checkbox | |
| tags: | |
| - surgical-video | |
| - foundation-model | |
| - video-understanding | |
| - phase-recognition | |
| - v-jepa | |
| - vision-transformer | |
| - pytorch | |
| datasets: | |
| - SurgMotion-15M | |
| language: | |
| - en | |
| # 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 compatibility | |
| - `SurgMotion-vitg-xformer.safetensors`: recommended weights in safetensors format | |
| - `SurgMotion-vitg-xformer.pt`: original released PyTorch checkpoint retained for compatibility | |
| ## Download | |
| Download the repository config and safetensors checkpoint with `huggingface_hub`: | |
| ```python | |
| 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 | |
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