Instructions to use emre/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emre/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="emre/detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("emre/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("emre/detr-resnet-50_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b6d216dd124ef64fba9d65ae278563a6dabd2f391a9a20b7d10df0279d4e714
- Size of remote file:
- 3.45 kB
- SHA256:
- fc8893a8cfff5e3be4ba24a8d5b83ab9e82b25fef1ffece61cb337ab50ea9e4b
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