Instructions to use hefeng0/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hefeng0/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hefeng0/detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("hefeng0/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("hefeng0/detr-resnet-50_finetuned_cppe5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ef6a038415e4cf5aa442218aa1da72579de15f729561f98d3387c542ea27252
- Size of remote file:
- 167 MB
- SHA256:
- b4977dd2943b367350282ab40a65d2b505ff448df1d11ef8c5a8dca5480842a9
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