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:
- 1612c306448149ec70cf7d7506c3a7ab5539ce9c8b9054a53556eef094d0bbad
- Size of remote file:
- 103 MB
- SHA256:
- 650c1e9b113f3a7bbb1be094c4d2ba2362d2f4165179525b604881094b34ca8b
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