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:
- cb5603e9366e494a7f921760762cc52f39dd1464bdc55a47386c9338490f643a
- Size of remote file:
- 14.6 kB
- SHA256:
- 729d42fe146820f9dbb6b0d8173f4d68ba8dcf22a5b5cf5ff96da26713727b11
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