Instructions to use cvnberk/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cvnberk/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="cvnberk/detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("cvnberk/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("cvnberk/detr-resnet-50_finetuned_cppe5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69e4db6035acfd8a501629edbca24ae0e9ee3cac24dc49032a970add5ad8aa88
- Size of remote file:
- 4.09 kB
- SHA256:
- 53f84d0cf9d1c6605f27cbb22514cd527e229415040d5c5db492a001909ed97c
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