Instructions to use hf-internal-testing/tiny-random-DetaForObjectDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-DetaForObjectDetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hf-internal-testing/tiny-random-DetaForObjectDetection")# Load model directly from transformers import AutoModelForObjectDetection model = AutoModelForObjectDetection.from_pretrained("hf-internal-testing/tiny-random-DetaForObjectDetection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9da17449e78e3c4215f4fa6172c05970eb0f0cf7ac140eed523813e61370a61b
- Size of remote file:
- 124 MB
- SHA256:
- 0d0753c0a57f519464427519338751448881d06fae739556e53dc63004d6bcbb
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