Instructions to use NajlaSS/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NajlaSS/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="NajlaSS/detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("NajlaSS/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("NajlaSS/detr-resnet-50_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 961b49b371d7575389a2954d347be0c7193b23de3a04cafcb81af8879e3a9f88
- Size of remote file:
- 4.03 kB
- SHA256:
- bc4c90aaace872a47e143cc9fc0dcb68144a61afe2c64f2ba703bf2bfdab78bc
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