Instructions to use journey2001/qr_code_read_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use journey2001/qr_code_read_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="journey2001/qr_code_read_model")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("journey2001/qr_code_read_model") model = AutoModelForObjectDetection.from_pretrained("journey2001/qr_code_read_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d21c0e42395b78353d3f3d198f5edf455c8fb9bcc685519ed8d5327974183336
- Size of remote file:
- 167 MB
- SHA256:
- 01826ff52f72929ed02fa9df4315b53667e504f53332bc4f5a7d606f9df1225d
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