Instructions to use andrei-saceleanu/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andrei-saceleanu/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="andrei-saceleanu/detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("andrei-saceleanu/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("andrei-saceleanu/detr-resnet-50_finetuned_cppe5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 896fc9609a2b2189c7a33073f92371c7757365785f1a473c5ec970e812c7d231
- Size of remote file:
- 167 MB
- SHA256:
- 7098c574536e9b0771a619d17603f871e8ff7c92d7fafebe21b64b5abe934ba3
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