Object Detection
ultralytics
ONNX
PyTorch
comfyui
face-detection
face-segmentation
image-segmentation
Instructions to use vdaular/ForbiddenVision_Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use vdaular/ForbiddenVision_Models 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("vdaular/ForbiddenVision_Models", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download images/header.webp from vdaular/ForbiddenVision_Models: direct link, hf CLI and curl.
- Browser
- Download file 15.3 kB
-
https://huggingface.co/vdaular/ForbiddenVision_Models/resolve/main/images/header.webp
- Command line
-
hf download hf://vdaular/ForbiddenVision_Models/images/header.webp
-
curl -L -o header.webp https://huggingface.co/vdaular/ForbiddenVision_Models/resolve/main/images/header.webp
15.3 kB
