Instructions to use ekagrag99/detr_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ekagrag99/detr_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ekagrag99/detr_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("ekagrag99/detr_cppe5") model = AutoModelForObjectDetection.from_pretrained("ekagrag99/detr_cppe5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b455a15f0543e97e7c495f98be81a42c25a04d812f616edb82268c891f261a0
- Size of remote file:
- 5.3 kB
- SHA256:
- 277763c936641efc0ab855992793cf25e4e0c2a6719fd51d861ea8fb87f582f4
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