Instructions to use ryfkn/DETR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ryfkn/DETR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ryfkn/DETR")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("ryfkn/DETR") model = AutoModelForObjectDetection.from_pretrained("ryfkn/DETR") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7cc8d6fc9d6a33cd54110be37a7bd030367bff463ad82ae66392a7520df8c453
- Size of remote file:
- 166 MB
- SHA256:
- 7c64b239a16750938b4027330fd528de009d685072e4b24f8f7acc6a4cdf117f
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