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:
- d6c22f832344f00cec1b3e3527046f949892da9958fc94f67c773cf07e603bcf
- Size of remote file:
- 3.64 kB
- SHA256:
- 49c8b9f0e7bd4c30848f341b2e376dd27ec8e69919ec02eb4ee07c62a1b208fa
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