Instructions to use ArrayDice/detr_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArrayDice/detr_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ArrayDice/detr_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("ArrayDice/detr_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("ArrayDice/detr_finetuned_cppe5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54a95bcdf9568f8649cb6198bae2f74b82b5be6baa2d93831bae40691b210ce9
- Size of remote file:
- 5.11 kB
- SHA256:
- 029e1416cd5980131cf43a66c2c54e46e6e96732bfe1bbb8e8053f99fa01da75
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