Instructions to use devonho/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devonho/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="devonho/detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("devonho/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("devonho/detr-resnet-50_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 812d04ba8177886794615d8ad6733457df84ae4d060eecf5042866d10f49eeb4
- Size of remote file:
- 167 MB
- SHA256:
- c96d0c5a44c428f7f1ac50ae106c9e727dd048d55152973c7677acf06cf96265
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