Instructions to use sg485/detr-orderstack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sg485/detr-orderstack with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="sg485/detr-orderstack")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("sg485/detr-orderstack") model = AutoModelForObjectDetection.from_pretrained("sg485/detr-orderstack", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f8bfbd2fa2786f19875911de424c162705f1edb834f20718c24d01a2b4743f6
- Size of remote file:
- 167 MB
- SHA256:
- d1f0ccceb75103a216318f4228f2a79b10bdcf613b9b1f040c3850b81bc964f4
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