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:
- 4b179730e9a7d1b8bf0b042d0a036ac6ffb2f5df1cd20cf4895ced6c193c76b3
- Size of remote file:
- 14.6 kB
- SHA256:
- 4052707922bc6cbd73456c247a8fd4be1a4574ec78b2862bf1be1ce1133d8344
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