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:
- 7bc6536aa4253c89f3448aa0ed34b27ef944f9becf5329299130004c58af2b58
- Size of remote file:
- 166 MB
- SHA256:
- 1cf096b1d07d975804c7ac22dcf452a397c328866615e4688c9bc557da267920
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