Instructions to use RandomCatLover/detr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RandomCatLover/detr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="RandomCatLover/detr")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("RandomCatLover/detr") model = AutoModelForObjectDetection.from_pretrained("RandomCatLover/detr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d3ca86b15cef510647a3957fbce706be959083a7018b15645dcc2223a6e0320
- Size of remote file:
- 4.86 kB
- SHA256:
- 69ffbc00c2c23d93a806582c91064a149760d92062004c16b8804a3183f3479d
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