Instructions to use Mahmoud7/OD_YOLOS_strat1_classes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mahmoud7/OD_YOLOS_strat1_classes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Mahmoud7/OD_YOLOS_strat1_classes")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Mahmoud7/OD_YOLOS_strat1_classes") model = AutoModelForObjectDetection.from_pretrained("Mahmoud7/OD_YOLOS_strat1_classes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9d72a90ed8a4e8bc36321530aa1e0e147e45530a941c2ba8e3be7d70f715d8f
- Size of remote file:
- 26 MB
- SHA256:
- f9fd8b456b86be57b8624d4fa85564825eae54a577c6e0bdf300e5b950190283
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