Instructions to use asmarnadeem/detr-resnet-50_finetuned_cppe5_ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asmarnadeem/detr-resnet-50_finetuned_cppe5_ with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="asmarnadeem/detr-resnet-50_finetuned_cppe5_", device_map="auto")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("asmarnadeem/detr-resnet-50_finetuned_cppe5_") model = AutoModelForObjectDetection.from_pretrained("asmarnadeem/detr-resnet-50_finetuned_cppe5_", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10ad7fc755e1c5605d3c79e64f1098a71605fd29199896502e927023500f29e1
- Size of remote file:
- 4.98 kB
- SHA256:
- d608272826ad2522fbc17c968bc280c2a5172fa994870380c4fc289d4c448473
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