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:
- e2ab9e09a3a80a521f9b617b7f2df021cb29581dae055fa76a95628319c178a7
- Size of remote file:
- 340 kB
- SHA256:
- 6de41646963d5f89526b7a34ad648c7a2e1a07adcca72592c2230d294dcdaf75
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