Instructions to use woutervd/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use woutervd/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="woutervd/detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("woutervd/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("woutervd/detr-resnet-50_finetuned_cppe5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1d568d2ed92303756e698a2fcd064555b56dd384880c940fdf43a89589c9caa
- Size of remote file:
- 167 MB
- SHA256:
- 9d6ac595ce74888a911c9a7b72fd19f1f9f090b480a4e78eebdd7ec355055946
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