Instructions to use DI-Huy/hustvl-yolos-tiny-benetech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DI-Huy/hustvl-yolos-tiny-benetech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="DI-Huy/hustvl-yolos-tiny-benetech")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("DI-Huy/hustvl-yolos-tiny-benetech") model = AutoModelForObjectDetection.from_pretrained("DI-Huy/hustvl-yolos-tiny-benetech") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d59a70e5a036e727f9e899621cca79975a80e8225bc2b582b52c1036c88eb01
- Size of remote file:
- 26 MB
- SHA256:
- 78f592e653b6cc5b5fe460c693e94abe606a7681481e222235092fc4af212e14
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