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:
- b62cb46ac1db4213aa6f9202390b86e1c8b7350ad35ee4f930e7c071f2b60c02
- Size of remote file:
- 103 MB
- SHA256:
- 92dbe06deaf370698a0842b7f589b279b5cda2cbd741265db29e4018315dcb33
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