Instructions to use KIRANKALLA/WeaponDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KIRANKALLA/WeaponDetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="KIRANKALLA/WeaponDetection")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("KIRANKALLA/WeaponDetection") model = AutoModelForObjectDetection.from_pretrained("KIRANKALLA/WeaponDetection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1877024a997da55dfd287dfb5752c7498d6d3745fab8bb63a2a3033f1d96562
- Size of remote file:
- 5.11 kB
- SHA256:
- 158b4248db8486e2b3d826672438bec614d378dbe18183f7e2909ccee3c460b0
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