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:
- 4a1aed36ce7889745dea3ef565c87ffcc7e0f504c4730e53372f5d628249cbc8
- Size of remote file:
- 161 MB
- SHA256:
- 3ff3e9e7fb596836849ffca5e07624ff381d73130ebfcdbfa2269b3f5a56a1a2
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