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:
- 47e906124f22ace00006be42483438f6a62f1664335aa6afc3fde799b9820eb0
- Size of remote file:
- 166 MB
- SHA256:
- c73b942f40746a2d665769e9e6414c161a0d9b980c52156d972f3b041ceec655
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