Instructions to use ritwik098/Licplatesdetection-train-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ritwik098/Licplatesdetection-train-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ritwik098/Licplatesdetection-train-finetuned")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("ritwik098/Licplatesdetection-train-finetuned") model = AutoModelForObjectDetection.from_pretrained("ritwik098/Licplatesdetection-train-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5d1b27c8c2c1fb31aa0b250190a2fc63db871e40f44cd503712c38ce86a8526
- Size of remote file:
- 166 MB
- SHA256:
- 3484a3e1836fcd25a261929bf6247134a1bcc3122b1e170a2759a4a0a0fe102b
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