Instructions to use hsanchez/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hsanchez/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hsanchez/detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("hsanchez/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("hsanchez/detr-resnet-50_finetuned_cppe5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4002c014ccf8291cab2720e3be3a2af8cbb645c9ed9c6ce9024db49d5245b1a9
- Size of remote file:
- 167 MB
- SHA256:
- 191e650c96d0faacdcf7af8489ed8f5edf9d640381cf65333e94126ecbb1e0f8
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