Instructions to use talk2raja/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use talk2raja/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="talk2raja/detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("talk2raja/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("talk2raja/detr-resnet-50_finetuned_cppe5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79c985798e928303f4fd8057fe7c38154934fb7c21b9475be70e035f293fbc95
- Size of remote file:
- 167 MB
- SHA256:
- c0c26852bc285cd824f314b027e6ce3f4550c120269c1087a44aeb4df4e6ea2d
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