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:
- 5011b85edbd93b45f67a32a4c70dcaa4bb9c39857a7d7c4b2897a841c46d5b33
- Size of remote file:
- 80.5 MB
- SHA256:
- 62bc471bf9dcb1e7813d5480373d81075680197f2ba9609ad00fb9748bf7e516
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