Instructions to use M-Hamdy/SurgBox-YOLOv8-x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use M-Hamdy/SurgBox-YOLOv8-x with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("M-Hamdy/SurgBox-YOLOv8-x", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
You need to agree to share your Hugging Face information to access this model
This repository is publicly accessible, but you have to accept the conditions to access its files and content.
This detector was trained on Cholec80, which is distributed by CAMMA under its own terms. It may be used for non-commercial purposes only (CC BY-NC-SA 4.0), and its use is also subject to the Ultralytics license (AGPL-3.0).
Log in or Sign Up to review the conditions and access this model content.
Gated model You can list files but not access them
Preview of files found in this repository