Instructions to use Shebrain/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shebrain/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Shebrain/detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Shebrain/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("Shebrain/detr-resnet-50_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bfdb5b51e9a27d105d9a6024896f1592b961a63efbf6bc9b0fd81226e7d973e5
- Size of remote file:
- 167 MB
- SHA256:
- 70b577a76d45d311d8c56dfb44d4cb15a74653cc752ae0d89bc8bedf04272d35
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