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")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("machinelearningzuu/queue_detection") model = AutoModelForObjectDetection.from_pretrained("machinelearningzuu/queue_detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from machinelearningzuu/queue_detection: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/machinelearningzuu/queue_detection/resolve/52f46cf633b62320d3dbabcaa5a15e7c73ae68b3/training_args.bin
- Command line
-
hf download hf://machinelearningzuu/queue_detection@52f46cf633b62320d3dbabcaa5a15e7c73ae68b3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/machinelearningzuu/queue_detection/resolve/52f46cf633b62320d3dbabcaa5a15e7c73ae68b3/training_args.bin
5.11 kB
- Xet hash:
- fb7e8510c7a26eb0478d073d87a87e9810c0786c29b134c8138f9e6e61ede978
- Size of remote file:
- 5.11 kB
- SHA256:
- 46c9d76fbeb10875fbe0acfe85321adbbd2a8d8696675373ae0fcca775fa0069
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