Instructions to use hf-internal-testing/tiny-random-YolosForObjectDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-YolosForObjectDetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hf-internal-testing/tiny-random-YolosForObjectDetection")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-YolosForObjectDetection") model = AutoModelForObjectDetection.from_pretrained("hf-internal-testing/tiny-random-YolosForObjectDetection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d25d84c0b7fdba9f74e22e9b90699c343424749bb447dcaee491622b497a0f9d
- Size of remote file:
- 319 kB
- SHA256:
- d60bac301a7afeaf246fe370bc35fbf9394f2e305740a135d978ba7632b948b4
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