Instructions to use hf-internal-testing/tiny-random-DetrForObjectDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-DetrForObjectDetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hf-internal-testing/tiny-random-DetrForObjectDetection")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-DetrForObjectDetection") model = AutoModelForObjectDetection.from_pretrained("hf-internal-testing/tiny-random-DetrForObjectDetection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 398e8ab17ec704e7d2a5f339f0ae377807641b697a9a2327466d620bcdf6a62e
- Size of remote file:
- 103 MB
- SHA256:
- 7fae513cc56e511e26026bfa1b60b176be15ab69aa1477136d3570dcdd483620
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