Instructions to use myshkin/detr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use myshkin/detr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="myshkin/detr")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("myshkin/detr") model = AutoModelForObjectDetection.from_pretrained("myshkin/detr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7938aa26c3e147ff04e68d9a2ca3c6705391e49bab22475bd8afdfd4c1d3f600
- Size of remote file:
- 167 MB
- SHA256:
- fe91a3497832e3a3501334be9d9e2cf26a62fbd48385e749d605ea297ecf648b
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