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:
- 3ca9d26be7b4670fb8a1b3e8fc4617b0e9d7b6fb168f850e17f47d77b40700b4
- Size of remote file:
- 174 MB
- SHA256:
- cde0fed8951f7f160126822d37d430d95caf5a5d9c5400fa555ae942de77baad
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