Instructions to use machinelearningzuu/queue_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use machinelearningzuu/queue_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="machinelearningzuu/queue_detection")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("machinelearningzuu/queue_detection") model = AutoModelForObjectDetection.from_pretrained("machinelearningzuu/queue_detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5b1cfc3209c55c30fb27cf066c1ab6e8eb9494af78d3f12f96ba847a01f7af8
- Size of remote file:
- 5.11 kB
- SHA256:
- 76f75fbe6a489bc52283a2db5990eaf0c6230e298863feba24ba56607ac975d1
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