Instructions to use Naghma/detr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Naghma/detr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Naghma/detr")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Naghma/detr") model = AutoModelForObjectDetection.from_pretrained("Naghma/detr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Naghma/detr: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/Naghma/detr/resolve/main/training_args.bin
- Command line
-
hf download hf://Naghma/detr/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Naghma/detr/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- 68b0352cf0c86eea54ff714746213b8466dd1dd383fd7881297989d6ebed41dd
- Size of remote file:
- 4.86 kB
- SHA256:
- 02d82827394dbd1ec4cf5f2c8ff0d9ea8cceb04c357a47ab5e23d8fa21a1a4d1
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