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:
- e783c88fed40cc366e122626badeaca991d4587a4255439042d28d37956cd941
- Size of remote file:
- 5.11 kB
- SHA256:
- 453d2955ee53d5893940dcd962c31c1bcbec2d0b4e3a72ed01d8cf7285a40dbb
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