Instructions to use b09501048/detr3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use b09501048/detr3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="b09501048/detr3")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("b09501048/detr3") model = AutoModelForObjectDetection.from_pretrained("b09501048/detr3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from b09501048/detr3: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/b09501048/detr3/resolve/main/training_args.bin
- Command line
-
hf download hf://b09501048/detr3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/b09501048/detr3/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 506f0a2a8d3376a40695fab0cd84867f09b86588c400b07d509a972504608eba
- Size of remote file:
- 5.18 kB
- SHA256:
- 8c92cdb97b82161113dcb6d900c97c29204b0b68f7f166bd4bf00108674c5cfb
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