Instructions to use dopamineaddict/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dopamineaddict/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="dopamineaddict/detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("dopamineaddict/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("dopamineaddict/detr-resnet-50_finetuned_cppe5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32f9bd68d5cc2c371750d83c1c03f09c69666c583aa327fb40dc831db6b2a2fd
- Size of remote file:
- 4.98 kB
- SHA256:
- ff9c17d612acbeed7dbcfa7d400f39d1b6ac90defc4a2b1bd3de986aee21999b
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