Instructions to use depek/detr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use depek/detr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="depek/detr")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("depek/detr") model = AutoModelForObjectDetection.from_pretrained("depek/detr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from depek/detr: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/depek/detr/resolve/main/training_args.bin
- Command line
-
hf download hf://depek/detr/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/depek/detr/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- cedfe2eace422cd403f2eabba6c1fff8cd4c6e125da67a6668743032ebefdb31
- Size of remote file:
- 4.86 kB
- SHA256:
- 00589c7d4b442ee37eefdf2c50a87bceb4cf16c74c39a8416640d6df38a89a9e
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