Instructions to use benjamintli/rt-detr-v2_barcode-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use benjamintli/rt-detr-v2_barcode-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="benjamintli/rt-detr-v2_barcode-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForObjectDetection tokenizer = AutoTokenizer.from_pretrained("benjamintli/rt-detr-v2_barcode-detection") model = AutoModelForObjectDetection.from_pretrained("benjamintli/rt-detr-v2_barcode-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 34e95b1188e398fadad8c6b6af246f488021df9b9a9b6e3cfc971cbdfe948d51
- Size of remote file:
- 161 MB
- SHA256:
- 6c8f66432e6566b936f5402f39aeefd32f3b9af70a6b62ea9c15f07ef48e16d9
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