Instructions to use hefeng0/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hefeng0/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hefeng0/detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("hefeng0/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("hefeng0/detr-resnet-50_finetuned_cppe5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23addc83a2f1dfc06d94e75a1def06d9abced825947c5f6278899d9893e9f110
- Size of remote file:
- 4.03 kB
- SHA256:
- 467d83ede83be3f2f047bd75b4602b081999672119db2fc8f12614807b36e5e1
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