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:
- 9327080b91345c13c1d8a07f64976ca80c69a14770f235234bc441ac776a1838
- Size of remote file:
- 167 MB
- SHA256:
- 6ba04844a5b27af0aa5e8fc6dbff428b1de2aac77b6c15d24a98a917823ef3ea
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