Instructions to use microsoft/conditional-detr-resnet-50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/conditional-detr-resnet-50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="microsoft/conditional-detr-resnet-50")# Load model directly from transformers import AutoImageProcessor, ConditionalDETRForObjectDetection processor = AutoImageProcessor.from_pretrained("microsoft/conditional-detr-resnet-50") model = ConditionalDETRForObjectDetection.from_pretrained("microsoft/conditional-detr-resnet-50") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 809935df2f09bfcc1cbbf7fb40bbff5058d622514a34a235c6f922ebe123d4e5
- Size of remote file:
- 174 MB
- SHA256:
- 2b589a660bb30e561c780dc8840da90a5e61edb8d9a3988fd7f367cc414dc67a
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