Instructions to use samu/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use samu/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="samu/detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("samu/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("samu/detr-resnet-50_finetuned_cppe5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ff8d35469749c1f390a2398ce400f5ac2b8381e5e191e8ae5e9e558578d6031
- Size of remote file:
- 4.92 kB
- SHA256:
- 4a1e8a7a978b9da9707fa40a1b1f52f37fda7feadcd11e58d56cc04d6dc20ae9
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