Instructions to use facebook/detr-resnet-50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/detr-resnet-50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="facebook/detr-resnet-50")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("facebook/detr-resnet-50") model = AutoModelForObjectDetection.from_pretrained("facebook/detr-resnet-50", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb41e00d85d1a2a6316b41881c13a43d2d64235fa13edb932cf456ec4f3b2f83
- Size of remote file:
- 167 MB
- SHA256:
- 1c7bbe72ad422b7b0da83dd81f59c25b1f78dd0e6620ed307d020ec091665b59
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