Instructions to use Malrak/best-comic-panel-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Malrak/best-comic-panel-detection 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("Malrak/best-comic-panel-detection", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download val_batch0_pred.jpg from Malrak/best-comic-panel-detection: direct link, hf CLI and curl.
- Browser
- Download file 1.2 MB
-
https://huggingface.co/Malrak/best-comic-panel-detection/resolve/main/val_batch0_pred.jpg
- Command line
-
hf download hf://Malrak/best-comic-panel-detection/val_batch0_pred.jpg
-
curl -L -o val_batch0_pred.jpg https://huggingface.co/Malrak/best-comic-panel-detection/resolve/main/val_batch0_pred.jpg
1.2 MB

- Xet hash:
- 5919f414b67be9db3a59b2387b3bda9029f1c3f103e339c3005c4bcf43474e05
- Size of remote file:
- 1.2 MB
- SHA256:
- bf69315cfa2116f21aa389bdfa184aeee891fdf5f1cb4d618bdb6ec8ecbfdf8b
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