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:
- 2b4892cf1df36419c036f8f296bb3ca65d4fdd1db237439db8c52a3bd998a971
- Size of remote file:
- 5.11 kB
- SHA256:
- 5ec2e382b5b2f3186e1698dd2638b7a555bc79517c3e1a843f8309f3e5152391
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