Instructions to use decene/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use decene/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="decene/detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("decene/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("decene/detr-resnet-50_finetuned_cppe5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b52f42daf5f03288a74e6e6b3bd3cd9df1eaa04a8ff5bb210c79e51a3532050
- Size of remote file:
- 167 MB
- SHA256:
- aeabb8609a5b463ca915be3eab3af241a0798a8712279b3bd302db5a4c8d4f7a
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