Instructions to use hustvl/yolos-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hustvl/yolos-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hustvl/yolos-small")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("hustvl/yolos-small") model = AutoModelForObjectDetection.from_pretrained("hustvl/yolos-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 319ce5a2d3693a37e6ed309af06f9e5259f0db7087fde7437eb6571bb727e1ab
- Size of remote file:
- 123 MB
- SHA256:
- a5fbcdd7e5612fa92f586648762ccc4ac29cd121fa23eadd7f6289918f8a8bb0
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