Instructions to use NajlaSS/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NajlaSS/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="NajlaSS/detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("NajlaSS/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("NajlaSS/detr-resnet-50_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 621cf933221574bd0c2536632374a45cd2c4b39d422f0ec33a8c18929fa33b7a
- Size of remote file:
- 167 MB
- SHA256:
- f57d2379abddf0a3787e0ca697f46cf0e15105708789bd1d6ceb5faf299692e6
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