Instructions to use Jarven/Candy_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jarven/Candy_detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Jarven/Candy_detector")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Jarven/Candy_detector") model = AutoModelForObjectDetection.from_pretrained("Jarven/Candy_detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Jarven/Candy_detector: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/Jarven/Candy_detector/resolve/main/training_args.bin
- Command line
-
hf download hf://Jarven/Candy_detector/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Jarven/Candy_detector/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- e61a280505b8e854f21b13d9ef3b6eb7b0e3d9d39ba96e758f730cd89cf7bebe
- Size of remote file:
- 4.6 kB
- SHA256:
- 57f30b9280a8e613a9d5198d5312b8ec13bf189c6356ad925aa26fc64b91963f
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