Object Detection
ultralytics
ONNX
PyTorch
comfyui
face-detection
face-segmentation
image-segmentation
Instructions to use luxdelux7/ForbiddenVision_Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use luxdelux7/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("luxdelux7/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 ForbiddenVision_face_detect_v1.onnx from luxdelux7/ForbiddenVision_Models: direct link, hf CLI and curl.
- Browser
- Download file 19 MB
-
https://huggingface.co/luxdelux7/ForbiddenVision_Models/resolve/main/ForbiddenVision_face_detect_v1.onnx
- Command line
-
hf download hf://luxdelux7/ForbiddenVision_Models/ForbiddenVision_face_detect_v1.onnx
-
curl -L -o ForbiddenVision_face_detect_v1.onnx https://huggingface.co/luxdelux7/ForbiddenVision_Models/resolve/main/ForbiddenVision_face_detect_v1.onnx
19 MB
- Xet hash:
- 1b83f716b55f3982f70c1902442a4be19ab7de85ff5df4f8f81aad85e1532453
- Size of remote file:
- 19 MB
- SHA256:
- b46f979ec1f9d93d38e354e0c302704065f46113d1fe4744fac57576f0b95207
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