Instructions to use Shebrain/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shebrain/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Shebrain/detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Shebrain/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("Shebrain/detr-resnet-50_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52267e08dc907579d212bec70cd26ded7e39e6fa667a8021a21e7fb7b9cebd71
- Size of remote file:
- 3.52 kB
- SHA256:
- 1462839ff2ad0627e9e0c6c2660357a39d400930c0b5af736a52feb0bf102925
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