Instructions to use machinelearningzuu/queue_detection_cctv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use machinelearningzuu/queue_detection_cctv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="machinelearningzuu/queue_detection_cctv")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("machinelearningzuu/queue_detection_cctv") model = AutoModelForObjectDetection.from_pretrained("machinelearningzuu/queue_detection_cctv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from machinelearningzuu/queue_detection_cctv: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/machinelearningzuu/queue_detection_cctv/resolve/a842e75ef0b6837f4e780f9277e00ac8fb756bcd/training_args.bin
- Command line
-
hf download hf://machinelearningzuu/queue_detection_cctv@a842e75ef0b6837f4e780f9277e00ac8fb756bcd/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/machinelearningzuu/queue_detection_cctv/resolve/a842e75ef0b6837f4e780f9277e00ac8fb756bcd/training_args.bin
5.11 kB
- Xet hash:
- 51de0a6116dc74a4e970577515f1100efff664205f27585d255728e09e2a7a0c
- Size of remote file:
- 5.11 kB
- SHA256:
- 5fb72d36ac46171bd410f1ce61f319920ef371be6b897577df9a51c9d797fe19
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