Instructions to use hustvl/yolos-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hustvl/yolos-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hustvl/yolos-tiny")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("hustvl/yolos-tiny") model = AutoModelForObjectDetection.from_pretrained("hustvl/yolos-tiny") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5bc30cccc4d5e921a3472c3a7bf73021c829d3787d505ee0e04c52e3d5d34203
- Size of remote file:
- 26 MB
- SHA256:
- 6a5cc7772832fba0f8dac7b1fc3425c6d834c361d01d5aef429bd5865e2c0726
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