Surgvu2025vqa
This repository provides model for surgvu2025vqa
Modellquelle
- Art
- Text model
- Dateigröße
- 360 MB
- Basismodell
- Qwen/Qwen2.5-VL-3B-Instruct
- Version
- vcheckpoint-399
- Aktualisiert
- 30. Okt. 2026
- Downloads
- 11
- Quelle
- Hugging Face
Quellenbeschreibung
SurgVU 2025 Category 2 VQA
This repository provides model for surgvu2025vqa
Model Files Preparation
Download the model
In surgvu2025vqa load_model(), inference.py reads the following from MODEL_PATH=/opt/app/model:
alg.cfg: algorithm configuration (INI/CFG format)last.pt: Ultralytics YOLO detection model weightscheckpoint-399.pth: classification model weights (ResNet50, 12 classes)- Qwen2.5-VL model and processor directory (for
Qwen2_5_VLForConditionalGenerationandAutoProcessor)
Ensure the above weights and model directory are placed under /opt/app/model in the container image (or switch MODEL_PATH to a local path for direct local runs).
Quellen
1 Quelle
Quellen
1 QuelleVerifiziert 30. Okt.
Download files
Model · 2 weight files
All files listed in the provider index are present.
- model.safetensors.index.json · provider index
- config.json
- generation_config.json
- model-00001-of-00002.safetensors · individual shard
- model-00002-of-00002.safetensors · individual shard
Repository files
File inventory only; completeness is unverified.
Modellartefakte
1 Artefakt
Modellartefakte
1 ArtefaktQuellenauszüge
3 Auszüge
Quellenauszüge
3 Auszüge--- license: apache-2.0 language: - en base_model: - Qwen/Qwen2.5-VL-3B-Instruct pipeline_tag: video-text-to-text tags: - final --- # SurgVU 2025 Category 2 VQA This repository provides model for [surgvu2025vqa](https://github.com/bravefox12138/surgvu2025vqa) --- ## Model Files Preparation Download the model In surgvu2025vqa `load_model()`, `inference.py` reads the following from `MODEL_PATH=/opt/app/model`: - `alg.cfg`: algorithm configuration (INI/CFG format) - `last.pt`: Ultralytics YOLO detection model weights - `checkpoint-399.pth`: classification model weights (ResNet50, 12 classes) - Qwen2.5-VL model and processor directory (for `Qwen2_5_VLForConditionalGeneration` and `AutoProcessor`) Ensure the above weights and model directory are placed under `/opt/app/model` in the container image (or switch `MODEL_PATH` to a local path for direct local runs). ---
Source context: 11 downloads · 0 likes · Pipeline video-text-to-text · Repo bravefox12138/surgvu2025vqa
Source context: 20 downloads · 0 likes · Pipeline video-text-to-text · Repo bravefox12138/surgvu2025vqa
